From 2202e171c53dde2359e95c7fa82bd1c7686604de Mon Sep 17 00:00:00 2001 From: krzim <44442910+krzim@users.noreply.github.com> Date: Thu, 29 Oct 2020 18:03:11 -0400 Subject: [PATCH 001/108] Fix import to grab the encoder model save function I saw that this was recently changed but I'm not sure if it should have been. This is the correct function given the arguments provided to it in the train loop. --- TTS/bin/train_encoder.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/TTS/bin/train_encoder.py b/TTS/bin/train_encoder.py index 8d1f14fa..6a370362 100644 --- a/TTS/bin/train_encoder.py +++ b/TTS/bin/train_encoder.py @@ -13,10 +13,9 @@ from TTS.speaker_encoder.dataset import MyDataset from TTS.speaker_encoder.losses import AngleProtoLoss, GE2ELoss from TTS.speaker_encoder.model import SpeakerEncoder from TTS.speaker_encoder.utils.generic_utils import \ - check_config_speaker_encoder + check_config_speaker_encoder, save_best_model from TTS.speaker_encoder.utils.visual import plot_embeddings from TTS.tts.datasets.preprocess import load_meta_data -from TTS.tts.utils.io import save_best_model from TTS.utils.audio import AudioProcessor from TTS.utils.generic_utils import (count_parameters, create_experiment_folder, get_git_branch, From 0c6f7e4c77b7897f715ff4a219cf0c9924dc5b97 Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 26 Nov 2020 11:30:30 +0100 Subject: [PATCH 002/108] resample audio if flag set true --- TTS/utils/audio.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/TTS/utils/audio.py b/TTS/utils/audio.py index 26b65bed..30058117 100644 --- a/TTS/utils/audio.py +++ b/TTS/utils/audio.py @@ -11,6 +11,7 @@ from TTS.tts.utils.data import StandardScaler class AudioProcessor(object): def __init__(self, sample_rate=None, + resample=False, num_mels=None, min_level_db=None, frame_shift_ms=None, @@ -39,6 +40,7 @@ class AudioProcessor(object): print(" > Setting up Audio Processor...") # setup class attributed self.sample_rate = sample_rate + self.resample = resample self.num_mels = num_mels self.min_level_db = min_level_db or 0 self.frame_shift_ms = frame_shift_ms @@ -324,6 +326,8 @@ class AudioProcessor(object): if sr is None: x, sr = sf.read(filename) assert self.sample_rate == sr, "%s vs %s"%(self.sample_rate, sr) + elif self.resample: + x, sr = librosa.load(filename, sr=self.sample_rate) else: x, sr = librosa.load(filename, sr=sr) if self.do_trim_silence: From 7b0a93d2f864d5273bd0f777cd824ae24c444e7c Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 26 Nov 2020 11:44:52 +0100 Subject: [PATCH 003/108] fix --- TTS/utils/audio.py | 6 +++--- setup.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/TTS/utils/audio.py b/TTS/utils/audio.py index 30058117..9d25aeb7 100644 --- a/TTS/utils/audio.py +++ b/TTS/utils/audio.py @@ -323,11 +323,11 @@ class AudioProcessor(object): ### save and load ### def load_wav(self, filename, sr=None): - if sr is None: + if self.resample: + x, sr = librosa.load(filename, sr=self.sample_rate) + elif sr is None: x, sr = sf.read(filename) assert self.sample_rate == sr, "%s vs %s"%(self.sample_rate, sr) - elif self.resample: - x, sr = librosa.load(filename, sr=self.sample_rate) else: x, sr = librosa.load(filename, sr=sr) if self.do_trim_silence: diff --git a/setup.py b/setup.py index 2893036a..ab76317b 100644 --- a/setup.py +++ b/setup.py @@ -33,7 +33,7 @@ args, unknown_args = parser.parse_known_args() # Remove our arguments from argv so that setuptools doesn't see them sys.argv = [sys.argv[0]] + unknown_args -version = '0.0.6' +version = '0.0.7' # Adapted from https://github.com/pytorch/pytorch cwd = os.path.dirname(os.path.abspath(__file__)) From a757b203bc619146d4ea6b8af5135656ee11966a Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 26 Nov 2020 15:05:03 +0100 Subject: [PATCH 004/108] fix longer phoneme seqs --- TTS/tts/datasets/TTSDataset.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/TTS/tts/datasets/TTSDataset.py b/TTS/tts/datasets/TTSDataset.py index 7b671397..9b8cbdd3 100644 --- a/TTS/tts/datasets/TTSDataset.py +++ b/TTS/tts/datasets/TTSDataset.py @@ -138,6 +138,12 @@ class MyDataset(Dataset): if "attn_file" in locals(): attn = np.load(attn_file) + if len(text) > self.max_seq_len: + # return a different sample if the phonemized + # text is longer than the threshold + # TODO: find a better fix + return self.load_data(100) + sample = { 'text': text, 'wav': wav, From 06a389bc08e3e152f5f3562fb6ae0f3a9ebb9c08 Mon Sep 17 00:00:00 2001 From: Thorsten Mueller Date: Fri, 27 Nov 2020 15:49:55 +0100 Subject: [PATCH 005/108] Added option for saving raw spectograms --- TTS/bin/synthesize.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/TTS/bin/synthesize.py b/TTS/bin/synthesize.py index 64993754..1756b82e 100644 --- a/TTS/bin/synthesize.py +++ b/TTS/bin/synthesize.py @@ -9,6 +9,7 @@ import string import time import torch +import numpy as np from TTS.tts.utils.generic_utils import setup_model, is_tacotron from TTS.tts.utils.synthesis import synthesis @@ -21,6 +22,18 @@ from TTS.vocoder.utils.generic_utils import setup_generator def tts(model, vocoder_model, text, CONFIG, use_cuda, ap, use_gl, speaker_fileid, speaker_embedding=None, gst_style=None): t_1 = time.time() waveform, _, _, mel_postnet_spec, _, _ = synthesis(model, text, CONFIG, use_cuda, ap, speaker_fileid, gst_style, False, CONFIG.enable_eos_bos_chars, use_gl, speaker_embedding=speaker_embedding) + + # grab spectrogram (thx to the nice guys at mozilla discourse for codesnipplet) + if args.save_spectogram: + spec_file_name = args.text.replace(" ", "_") + spec_file_name = spec_file_name.translate( + str.maketrans('', '', string.punctuation.replace('_', ''))) + '.npy' + spec_file_name = os.path.join(args.out_path, spec_file_name) + spectrogram = torch.FloatTensor(mel_postnet_spec.T) + spectrogram = spectrogram.unsqueeze(0) + np.save(spec_file_name, spectrogram) + print(" > Saving raw spectogram to " + spec_file_name) + if CONFIG.model == "Tacotron" and not use_gl: mel_postnet_spec = ap.out_linear_to_mel(mel_postnet_spec.T).T if not use_gl: @@ -88,6 +101,11 @@ if __name__ == "__main__": '--gst_style', help="Wav path file for GST stylereference.", default=None) + parser.add_argument( + '--save_spectogram', + type=bool, + help="If true save raw spectogram for further (vocoder) processing in out_path.", + default=False) args = parser.parse_args() From 7c3cdced1a1be312efde5563e70eb852af85cc7f Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 1 Dec 2020 03:23:25 +0100 Subject: [PATCH 006/108] make speaker_mapping a global variable to prevent reload. Fix glow-tts training --- TTS/bin/train_glow_tts.py | 97 ++++++++++++++++++-------------------- TTS/bin/train_tacotron.py | 23 ++++----- TTS/tts/models/glow_tts.py | 1 + 3 files changed, 57 insertions(+), 64 deletions(-) diff --git a/TTS/bin/train_glow_tts.py b/TTS/bin/train_glow_tts.py index fcf6c4cd..81e7a9f2 100644 --- a/TTS/bin/train_glow_tts.py +++ b/TTS/bin/train_glow_tts.py @@ -7,41 +7,37 @@ import os import sys import time import traceback +from random import randrange import torch -from random import randrange +# DISTRIBUTED +from torch.nn.parallel import DistributedDataParallel as DDP_th from torch.utils.data import DataLoader - +from torch.utils.data.distributed import DistributedSampler from TTS.tts.datasets.preprocess import load_meta_data from TTS.tts.datasets.TTSDataset import MyDataset from TTS.tts.layers.losses import GlowTTSLoss -from TTS.tts.utils.generic_utils import setup_model, check_config_tts +from TTS.tts.utils.generic_utils import check_config_tts, setup_model from TTS.tts.utils.io import save_best_model, save_checkpoint from TTS.tts.utils.measures import alignment_diagonal_score -from TTS.tts.utils.speakers import parse_speakers, load_speaker_mapping +from TTS.tts.utils.speakers import parse_speakers from TTS.tts.utils.synthesis import synthesis from TTS.tts.utils.text.symbols import make_symbols, phonemes, symbols from TTS.tts.utils.visual import plot_alignment, plot_spectrogram from TTS.utils.audio import AudioProcessor from TTS.utils.console_logger import ConsoleLogger +from TTS.utils.distribute import init_distributed, reduce_tensor from TTS.utils.generic_utils import (KeepAverage, count_parameters, create_experiment_folder, get_git_branch, remove_experiment_folder, set_init_dict) from TTS.utils.io import copy_config_file, load_config from TTS.utils.radam import RAdam from TTS.utils.tensorboard_logger import TensorboardLogger -from TTS.utils.training import (NoamLR, check_update, - setup_torch_training_env) - -# DISTRIBUTED -from torch.nn.parallel import DistributedDataParallel as DDP_th -from torch.utils.data.distributed import DistributedSampler -from TTS.utils.distribute import init_distributed, reduce_tensor - +from TTS.utils.training import NoamLR, setup_torch_training_env use_cuda, num_gpus = setup_torch_training_env(True, False) -def setup_loader(ap, r, is_val=False, verbose=False, speaker_mapping=None): +def setup_loader(ap, r, is_val=False, verbose=False): if is_val and not c.run_eval: loader = None else: @@ -78,29 +74,29 @@ def setup_loader(ap, r, is_val=False, verbose=False, speaker_mapping=None): def format_data(data): - if c.use_speaker_embedding: - speaker_mapping = load_speaker_mapping(OUT_PATH) - # setup input data text_input = data[0] text_lengths = data[1] speaker_names = data[2] mel_input = data[4].permute(0, 2, 1) # B x D x T mel_lengths = data[5] - attn_mask = data[8] + item_idx = data[7] + attn_mask = data[9] avg_text_length = torch.mean(text_lengths.float()) avg_spec_length = torch.mean(mel_lengths.float()) if c.use_speaker_embedding: if c.use_external_speaker_embedding_file: - speaker_ids = data[8] + # return precomputed embedding vector + speaker_c = data[8] else: - speaker_ids = [ + # return speaker_id to be used by an embedding layer + speaker_c = [ speaker_mapping[speaker_name] for speaker_name in speaker_names ] - speaker_ids = torch.LongTensor(speaker_ids) + speaker_c = torch.LongTensor(speaker_c) else: - speaker_ids = None + speaker_c = None # dispatch data to GPU if use_cuda: @@ -108,15 +104,15 @@ def format_data(data): text_lengths = text_lengths.cuda(non_blocking=True) mel_input = mel_input.cuda(non_blocking=True) mel_lengths = mel_lengths.cuda(non_blocking=True) - if speaker_ids is not None: - speaker_ids = speaker_ids.cuda(non_blocking=True) + if speaker_c is not None: + speaker_c = speaker_c.cuda(non_blocking=True) if attn_mask is not None: attn_mask = attn_mask.cuda(non_blocking=True) - return text_input, text_lengths, mel_input, mel_lengths, speaker_ids,\ - avg_text_length, avg_spec_length, attn_mask + return text_input, text_lengths, mel_input, mel_lengths, speaker_c,\ + avg_text_length, avg_spec_length, attn_mask, item_idx -def data_depended_init(model, ap, speaker_mapping=None): +def data_depended_init(model, ap): """Data depended initialization for activation normalization.""" if hasattr(model, 'module'): for f in model.module.decoder.flows: @@ -127,20 +123,23 @@ def data_depended_init(model, ap, speaker_mapping=None): if getattr(f, "set_ddi", False): f.set_ddi(True) - data_loader = setup_loader(ap, 1, is_val=False, speaker_mapping=speaker_mapping) + data_loader = setup_loader(ap, 1, is_val=False) model.train() print(" > Data depended initialization ... ") + num_iter = 0 with torch.no_grad(): for _, data in enumerate(data_loader): # format data - text_input, text_lengths, mel_input, mel_lengths, speaker_ids,\ - _, _, attn_mask = format_data(data) + text_input, text_lengths, mel_input, mel_lengths, spekaer_embed,\ + _, _, attn_mask, item_idx = format_data(data) # forward pass model _ = model.forward( - text_input, text_lengths, mel_input, mel_lengths, attn_mask, g=speaker_ids) - break + text_input, text_lengths, mel_input, mel_lengths, attn_mask, g=spekaer_embed) + if num_iter == c.data_dep_init_iter: + break + num_iter += 1 if hasattr(model, 'module'): for f in model.module.decoder.flows: @@ -154,9 +153,9 @@ def data_depended_init(model, ap, speaker_mapping=None): def train(model, criterion, optimizer, scheduler, - ap, global_step, epoch, speaker_mapping=None): + ap, global_step, epoch): data_loader = setup_loader(ap, 1, is_val=False, - verbose=(epoch == 0), speaker_mapping=speaker_mapping) + verbose=(epoch == 0)) model.train() epoch_time = 0 keep_avg = KeepAverage() @@ -172,8 +171,8 @@ def train(model, criterion, optimizer, scheduler, start_time = time.time() # format data - text_input, text_lengths, mel_input, mel_lengths, speaker_ids,\ - avg_text_length, avg_spec_length, attn_mask = format_data(data) + text_input, text_lengths, mel_input, mel_lengths, speaker_c,\ + avg_text_length, avg_spec_length, attn_mask, item_idx = format_data(data) loader_time = time.time() - end_time @@ -203,10 +202,6 @@ def train(model, criterion, optimizer, scheduler, c.grad_clip) optimizer.step() - - grad_norm, _ = check_update(model, c.grad_clip, ignore_stopnet=True) - optimizer.step() - # setup lr if c.noam_schedule: scheduler.step() @@ -215,7 +210,7 @@ def train(model, criterion, optimizer, scheduler, current_lr = optimizer.param_groups[0]['lr'] # compute alignment error (the lower the better ) - align_error = 1 - alignment_diagonal_score(alignments) + align_error = 1 - alignment_diagonal_score(alignments, binary=True) loss_dict['align_error'] = align_error step_time = time.time() - start_time @@ -276,7 +271,7 @@ def train(model, criterion, optimizer, scheduler, # Diagnostic visualizations # direct pass on model for spec predictions - target_speaker = None if speaker_ids is None else speaker_ids[:1] + target_speaker = None if speaker_c is None else speaker_c[:1] spec_pred, *_ = model.inference(text_input[:1], text_lengths[:1], g=target_speaker) spec_pred = spec_pred.permute(0, 2, 1) gt_spec = mel_input.permute(0, 2, 1) @@ -313,8 +308,8 @@ def train(model, criterion, optimizer, scheduler, @torch.no_grad() -def evaluate(model, criterion, ap, global_step, epoch, speaker_mapping): - data_loader = setup_loader(ap, 1, is_val=True, speaker_mapping=speaker_mapping) +def evaluate(model, criterion, ap, global_step, epoch): + data_loader = setup_loader(ap, 1, is_val=True) model.eval() epoch_time = 0 keep_avg = KeepAverage() @@ -324,12 +319,12 @@ def evaluate(model, criterion, ap, global_step, epoch, speaker_mapping): start_time = time.time() # format data - text_input, text_lengths, mel_input, mel_lengths, speaker_ids,\ - _, _, attn_mask = format_data(data) + text_input, text_lengths, mel_input, mel_lengths, speaker_c,\ + _, _, attn_mask, item_idx = format_data(data) # forward pass model z, logdet, y_mean, y_log_scale, alignments, o_dur_log, o_total_dur = model.forward( - text_input, text_lengths, mel_input, mel_lengths, attn_mask, g=speaker_ids) + text_input, text_lengths, mel_input, mel_lengths, attn_mask, g=speaker_c) # compute loss loss_dict = criterion(z, y_mean, y_log_scale, logdet, mel_lengths, @@ -370,7 +365,7 @@ def evaluate(model, criterion, ap, global_step, epoch, speaker_mapping): if args.rank == 0: # Diagnostic visualizations # direct pass on model for spec predictions - target_speaker = None if speaker_ids is None else speaker_ids[:1] + target_speaker = None if speaker_c is None else speaker_c[:1] if hasattr(model, 'module'): spec_pred, *_ = model.module.inference(text_input[:1], text_lengths[:1], g=target_speaker) else: @@ -464,7 +459,7 @@ def evaluate(model, criterion, ap, global_step, epoch, speaker_mapping): # FIXME: move args definition/parsing inside of main? def main(args): # pylint: disable=redefined-outer-name # pylint: disable=global-variable-undefined - global meta_data_train, meta_data_eval, symbols, phonemes + global meta_data_train, meta_data_eval, symbols, phonemes, speaker_mapping # Audio processor ap = AudioProcessor(**c.audio) if 'characters' in c.keys(): @@ -539,13 +534,13 @@ def main(args): # pylint: disable=redefined-outer-name best_loss = float('inf') global_step = args.restore_step - model = data_depended_init(model, ap, speaker_mapping) + model = data_depended_init(model, ap) for epoch in range(0, c.epochs): c_logger.print_epoch_start(epoch, c.epochs) train_avg_loss_dict, global_step = train(model, criterion, optimizer, scheduler, ap, global_step, - epoch, speaker_mapping) - eval_avg_loss_dict = evaluate(model, criterion, ap, global_step, epoch, speaker_mapping=speaker_mapping) + epoch) + eval_avg_loss_dict = evaluate(model, criterion, ap, global_step, epoch) c_logger.print_epoch_end(epoch, eval_avg_loss_dict) target_loss = train_avg_loss_dict['avg_loss'] if c.run_eval: diff --git a/TTS/bin/train_tacotron.py b/TTS/bin/train_tacotron.py index 1263a616..b3fbc415 100644 --- a/TTS/bin/train_tacotron.py +++ b/TTS/bin/train_tacotron.py @@ -18,7 +18,7 @@ from TTS.tts.layers.losses import TacotronLoss from TTS.tts.utils.generic_utils import check_config_tts, setup_model from TTS.tts.utils.io import save_best_model, save_checkpoint from TTS.tts.utils.measures import alignment_diagonal_score -from TTS.tts.utils.speakers import load_speaker_mapping, parse_speakers +from TTS.tts.utils.speakers import parse_speakers from TTS.tts.utils.synthesis import synthesis from TTS.tts.utils.text.symbols import make_symbols, phonemes, symbols from TTS.tts.utils.visual import plot_alignment, plot_spectrogram @@ -39,7 +39,7 @@ from TTS.utils.training import (NoamLR, adam_weight_decay, check_update, use_cuda, num_gpus = setup_torch_training_env(True, False) -def setup_loader(ap, r, is_val=False, verbose=False, speaker_mapping=None): +def setup_loader(ap, r, is_val=False, verbose=False): if is_val and not c.run_eval: loader = None else: @@ -74,10 +74,7 @@ def setup_loader(ap, r, is_val=False, verbose=False, speaker_mapping=None): pin_memory=False) return loader -def format_data(data, speaker_mapping=None): - if speaker_mapping is None and c.use_speaker_embedding and not c.use_external_speaker_embedding_file: - speaker_mapping = load_speaker_mapping(OUT_PATH) - +def format_data(data): # setup input data text_input = data[0] text_lengths = data[1] @@ -127,7 +124,7 @@ def format_data(data, speaker_mapping=None): def train(model, criterion, optimizer, optimizer_st, scheduler, - ap, global_step, epoch, scaler, scaler_st, speaker_mapping=None): + ap, global_step, epoch, scaler, scaler_st): data_loader = setup_loader(ap, model.decoder.r, is_val=False, verbose=(epoch == 0), speaker_mapping=speaker_mapping) model.train() @@ -144,7 +141,7 @@ def train(model, criterion, optimizer, optimizer_st, scheduler, start_time = time.time() # format data - text_input, text_lengths, mel_input, mel_lengths, linear_input, stop_targets, speaker_ids, speaker_embeddings, max_text_length, max_spec_length = format_data(data, speaker_mapping) + text_input, text_lengths, mel_input, mel_lengths, linear_input, stop_targets, speaker_ids, speaker_embeddings, max_text_length, max_spec_length = format_data(data) loader_time = time.time() - end_time global_step += 1 @@ -327,7 +324,7 @@ def train(model, criterion, optimizer, optimizer_st, scheduler, @torch.no_grad() -def evaluate(model, criterion, ap, global_step, epoch, speaker_mapping=None): +def evaluate(model, criterion, ap, global_step, epoch): data_loader = setup_loader(ap, model.decoder.r, is_val=True, speaker_mapping=speaker_mapping) model.eval() epoch_time = 0 @@ -338,7 +335,7 @@ def evaluate(model, criterion, ap, global_step, epoch, speaker_mapping=None): start_time = time.time() # format data - text_input, text_lengths, mel_input, mel_lengths, linear_input, stop_targets, speaker_ids, speaker_embeddings, _, _ = format_data(data, speaker_mapping) + text_input, text_lengths, mel_input, mel_lengths, linear_input, stop_targets, speaker_ids, speaker_embeddings, _, _ = format_data(data) assert mel_input.shape[1] % model.decoder.r == 0 # forward pass model @@ -493,7 +490,7 @@ def evaluate(model, criterion, ap, global_step, epoch, speaker_mapping=None): # FIXME: move args definition/parsing inside of main? def main(args): # pylint: disable=redefined-outer-name # pylint: disable=global-variable-undefined - global meta_data_train, meta_data_eval, symbols, phonemes + global meta_data_train, meta_data_eval, symbols, phonemes, speaker_mapping # Audio processor ap = AudioProcessor(**c.audio) if 'characters' in c.keys(): @@ -599,8 +596,8 @@ def main(args): # pylint: disable=redefined-outer-name print("\n > Number of output frames:", model.decoder.r) train_avg_loss_dict, global_step = train(model, criterion, optimizer, optimizer_st, scheduler, ap, - global_step, epoch, scaler, scaler_st, speaker_mapping) - eval_avg_loss_dict = evaluate(model, criterion, ap, global_step, epoch, speaker_mapping) + global_step, epoch, scaler, scaler_st) + eval_avg_loss_dict = evaluate(model, criterion, ap, global_step, epoch) c_logger.print_epoch_end(epoch, eval_avg_loss_dict) target_loss = train_avg_loss_dict['avg_postnet_loss'] if c.run_eval: diff --git a/TTS/tts/models/glow_tts.py b/TTS/tts/models/glow_tts.py index dec8243a..734c11e5 100644 --- a/TTS/tts/models/glow_tts.py +++ b/TTS/tts/models/glow_tts.py @@ -104,6 +104,7 @@ class GlowTts(nn.Module): c_in_channels=self.c_in_channels) if num_speakers > 1 and not external_speaker_embedding_dim: + # speaker embedding layer self.emb_g = nn.Embedding(num_speakers, self.c_in_channels) nn.init.uniform_(self.emb_g.weight, -0.1, 0.1) From f42ca2b73fae96d0f6598d7cfecf5c4729c52c1b Mon Sep 17 00:00:00 2001 From: Alexander Korolev Date: Fri, 4 Dec 2020 16:43:39 +0100 Subject: [PATCH 007/108] Update wavegrad.py This should fix the issue https://github.com/mozilla/TTS/issues/581 --- TTS/vocoder/models/wavegrad.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/TTS/vocoder/models/wavegrad.py b/TTS/vocoder/models/wavegrad.py index 18562d10..da491771 100644 --- a/TTS/vocoder/models/wavegrad.py +++ b/TTS/vocoder/models/wavegrad.py @@ -105,8 +105,8 @@ class Wavegrad(nn.Module): self.noise_level = self.noise_level.to(y_0) if len(y_0.shape) == 3: y_0 = y_0.squeeze(1) - s = torch.randint(1, self.num_steps + 1, [y_0.shape[0]]) - l_a, l_b = self.noise_level[s-1], self.noise_level[s] + s = torch.randint(0, self.num_steps - 1, [y_0.shape[0]]) + l_a, l_b = self.noise_level[s], self.noise_level[s+1] noise_scale = l_a + torch.rand(y_0.shape[0]).to(y_0) * (l_b - l_a) noise_scale = noise_scale.unsqueeze(1) noise = torch.randn_like(y_0) From affe1c1138160b84ca5fe80a8328dbe2473f52ee Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 7 Dec 2020 11:26:57 +0100 Subject: [PATCH 008/108] setup training scripts for computing phonemes before training optionally. And define data_loaders before starting training and re-use them instead of re-define for every train and eval calls. This is to enable better instance filtering based on input length. --- TTS/bin/train_glow_tts.py | 27 ++++++++++------ TTS/bin/train_tacotron.py | 41 ++++++++++++++++++------ TTS/tts/configs/config.json | 1 + TTS/tts/configs/glow_tts_gated_conv.json | 1 + TTS/tts/datasets/TTSDataset.py | 2 +- 5 files changed, 51 insertions(+), 21 deletions(-) diff --git a/TTS/bin/train_glow_tts.py b/TTS/bin/train_glow_tts.py index 81e7a9f2..45e34a5e 100644 --- a/TTS/bin/train_glow_tts.py +++ b/TTS/bin/train_glow_tts.py @@ -59,6 +59,12 @@ def setup_loader(ap, r, is_val=False, verbose=False): enable_eos_bos=c.enable_eos_bos_chars, verbose=verbose, speaker_mapping=speaker_mapping if c.use_speaker_embedding and c.use_external_speaker_embedding_file else None) + + if c.use_phonemes and c.compute_input_seq_cache: + # precompute phonemes to have a better estimate of sequence lengths. + dataset.compute_input_seq(c.num_loader_workers) + dataset.sort_items() + sampler = DistributedSampler(dataset) if num_gpus > 1 else None loader = DataLoader( dataset, @@ -112,7 +118,7 @@ def format_data(data): avg_text_length, avg_spec_length, attn_mask, item_idx -def data_depended_init(model, ap): +def data_depended_init(data_loader, model, ap): """Data depended initialization for activation normalization.""" if hasattr(model, 'module'): for f in model.module.decoder.flows: @@ -123,7 +129,6 @@ def data_depended_init(model, ap): if getattr(f, "set_ddi", False): f.set_ddi(True) - data_loader = setup_loader(ap, 1, is_val=False) model.train() print(" > Data depended initialization ... ") num_iter = 0 @@ -152,10 +157,9 @@ def data_depended_init(model, ap): return model -def train(model, criterion, optimizer, scheduler, +def train(data_loader, model, criterion, optimizer, scheduler, ap, global_step, epoch): - data_loader = setup_loader(ap, 1, is_val=False, - verbose=(epoch == 0)) + model.train() epoch_time = 0 keep_avg = KeepAverage() @@ -308,8 +312,7 @@ def train(model, criterion, optimizer, scheduler, @torch.no_grad() -def evaluate(model, criterion, ap, global_step, epoch): - data_loader = setup_loader(ap, 1, is_val=True) +def evaluate(data_loader, model, criterion, ap, global_step, epoch): model.eval() epoch_time = 0 keep_avg = KeepAverage() @@ -533,14 +536,18 @@ def main(args): # pylint: disable=redefined-outer-name if 'best_loss' not in locals(): best_loss = float('inf') + # define dataloaders + train_loader = setup_loader(ap, 1, is_val=False, verbose=True) + eval_loader = setup_loader(ap, 1, is_val=True, verbose=True) + global_step = args.restore_step - model = data_depended_init(model, ap) + model = data_depended_init(train_loader, model, ap) for epoch in range(0, c.epochs): c_logger.print_epoch_start(epoch, c.epochs) - train_avg_loss_dict, global_step = train(model, criterion, optimizer, + train_avg_loss_dict, global_step = train(train_loader, model, criterion, optimizer, scheduler, ap, global_step, epoch) - eval_avg_loss_dict = evaluate(model, criterion, ap, global_step, epoch) + eval_avg_loss_dict = evaluate(eval_loader , model, criterion, ap, global_step, epoch) c_logger.print_epoch_end(epoch, eval_avg_loss_dict) target_loss = train_avg_loss_dict['avg_loss'] if c.run_eval: diff --git a/TTS/bin/train_tacotron.py b/TTS/bin/train_tacotron.py index b3fbc415..03032bfc 100644 --- a/TTS/bin/train_tacotron.py +++ b/TTS/bin/train_tacotron.py @@ -61,6 +61,12 @@ def setup_loader(ap, r, is_val=False, verbose=False): enable_eos_bos=c.enable_eos_bos_chars, verbose=verbose, speaker_mapping=speaker_mapping if c.use_speaker_embedding and c.use_external_speaker_embedding_file else None) + + if c.use_phonemes and c.compute_input_seq_cache: + # precompute phonemes to have a better estimate of sequence lengths. + dataset.compute_input_seq(c.num_loader_workers) + dataset.sort_items() + sampler = DistributedSampler(dataset) if num_gpus > 1 else None loader = DataLoader( dataset, @@ -123,10 +129,8 @@ def format_data(data): return text_input, text_lengths, mel_input, mel_lengths, linear_input, stop_targets, speaker_ids, speaker_embeddings, max_text_length, max_spec_length -def train(model, criterion, optimizer, optimizer_st, scheduler, +def train(data_loader, model, criterion, optimizer, optimizer_st, scheduler, ap, global_step, epoch, scaler, scaler_st): - data_loader = setup_loader(ap, model.decoder.r, is_val=False, - verbose=(epoch == 0), speaker_mapping=speaker_mapping) model.train() epoch_time = 0 keep_avg = KeepAverage() @@ -324,8 +328,7 @@ def train(model, criterion, optimizer, optimizer_st, scheduler, @torch.no_grad() -def evaluate(model, criterion, ap, global_step, epoch): - data_loader = setup_loader(ap, model.decoder.r, is_val=True, speaker_mapping=speaker_mapping) +def evaluate(data_loader, model, criterion, ap, global_step, epoch): model.eval() epoch_time = 0 keep_avg = KeepAverage() @@ -583,6 +586,13 @@ def main(args): # pylint: disable=redefined-outer-name if 'best_loss' not in locals(): best_loss = float('inf') + # define data loaders + train_loader = setup_loader(ap, + model.decoder.r, + is_val=False, + verbose=True) + eval_loader = setup_loader(ap, model.decoder.r, is_val=True) + global_step = args.restore_step for epoch in range(0, c.epochs): c_logger.print_epoch_start(epoch, c.epochs) @@ -594,16 +604,27 @@ def main(args): # pylint: disable=redefined-outer-name if c.bidirectional_decoder: model.decoder_backward.set_r(r) print("\n > Number of output frames:", model.decoder.r) - train_avg_loss_dict, global_step = train(model, criterion, optimizer, + train_avg_loss_dict, global_step = train(train_loader, model, + criterion, optimizer, optimizer_st, scheduler, ap, - global_step, epoch, scaler, scaler_st) - eval_avg_loss_dict = evaluate(model, criterion, ap, global_step, epoch) + global_step, epoch, scaler, + scaler_st) + eval_avg_loss_dict = evaluate(eval_loader, model, criterion, ap, + global_step, epoch) c_logger.print_epoch_end(epoch, eval_avg_loss_dict) target_loss = train_avg_loss_dict['avg_postnet_loss'] if c.run_eval: target_loss = eval_avg_loss_dict['avg_postnet_loss'] - best_loss = save_best_model(target_loss, best_loss, model, optimizer, global_step, epoch, c.r, - OUT_PATH, scaler=scaler.state_dict() if c.mixed_precision else None) + best_loss = save_best_model( + target_loss, + best_loss, + model, + optimizer, + global_step, + epoch, + c.r, + OUT_PATH, + scaler=scaler.state_dict() if c.mixed_precision else None) if __name__ == '__main__': diff --git a/TTS/tts/configs/config.json b/TTS/tts/configs/config.json index 7274fd9d..766aca40 100644 --- a/TTS/tts/configs/config.json +++ b/TTS/tts/configs/config.json @@ -131,6 +131,7 @@ "batch_group_size": 4, //Number of batches to shuffle after bucketing. "min_seq_len": 6, // DATASET-RELATED: minimum text length to use in training "max_seq_len": 153, // DATASET-RELATED: maximum text length + "compute_input_seq_cache": false, // if true, text sequences are computed before starting training. If phonemes are enabled, they are also computed at this stage. // PATHS "output_path": "/home/erogol/Models/LJSpeech/", diff --git a/TTS/tts/configs/glow_tts_gated_conv.json b/TTS/tts/configs/glow_tts_gated_conv.json index dbcdbbde..d34fbaf0 100644 --- a/TTS/tts/configs/glow_tts_gated_conv.json +++ b/TTS/tts/configs/glow_tts_gated_conv.json @@ -105,6 +105,7 @@ "min_seq_len": 3, // DATASET-RELATED: minimum text length to use in training "max_seq_len": 500, // DATASET-RELATED: maximum text length "compute_f0": false, // compute f0 values in data-loader + "compute_input_seq_cache": false, // if true, text sequences are computed before starting training. If phonemes are enabled, they are also computed at this stage. // PATHS "output_path": "/home/erogol/Models/LJSpeech/", diff --git a/TTS/tts/datasets/TTSDataset.py b/TTS/tts/datasets/TTSDataset.py index 9b8cbdd3..5524c379 100644 --- a/TTS/tts/datasets/TTSDataset.py +++ b/TTS/tts/datasets/TTSDataset.py @@ -63,6 +63,7 @@ class MyDataset(Dataset): self.enable_eos_bos = enable_eos_bos self.speaker_mapping = speaker_mapping self.verbose = verbose + self.input_seq_computed = False if use_phonemes and not os.path.isdir(phoneme_cache_path): os.makedirs(phoneme_cache_path, exist_ok=True) if self.verbose: @@ -71,7 +72,6 @@ class MyDataset(Dataset): if use_phonemes: print(" | > phoneme language: {}".format(phoneme_language)) print(" | > Number of instances : {}".format(len(self.items))) - self.sort_items() def load_wav(self, filename): audio = self.ap.load_wav(filename) From 20c86489d764969a4f06012da4c977705c2c9a0e Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 7 Dec 2020 11:29:10 +0100 Subject: [PATCH 009/108] make static methods for faster multiprocess call --- TTS/tts/datasets/TTSDataset.py | 49 ++++++++++++++++++++-------------- 1 file changed, 29 insertions(+), 20 deletions(-) diff --git a/TTS/tts/datasets/TTSDataset.py b/TTS/tts/datasets/TTSDataset.py index 5524c379..65ceb7dd 100644 --- a/TTS/tts/datasets/TTSDataset.py +++ b/TTS/tts/datasets/TTSDataset.py @@ -1,12 +1,16 @@ -import os -import numpy as np import collections -import torch +import os import random -from torch.utils.data import Dataset +from multiprocessing import Manager, Pool -from TTS.tts.utils.text import text_to_sequence, phoneme_to_sequence, pad_with_eos_bos -from TTS.tts.utils.data import prepare_data, prepare_tensor, prepare_stop_target +import numpy as np +import torch +import tqdm +from torch.utils.data import Dataset +from TTS.tts.utils.data import (prepare_data, prepare_stop_target, + prepare_tensor) +from TTS.tts.utils.text import (pad_with_eos_bos, phoneme_to_sequence, + text_to_sequence) class MyDataset(Dataset): @@ -82,35 +86,40 @@ class MyDataset(Dataset): data = np.load(filename).astype('float32') return data - def _generate_and_cache_phoneme_sequence(self, text, cache_path): + @staticmethod + def _generate_and_cache_phoneme_sequence(text, cache_path, cleaners, language, tp, add_blank): """generate a phoneme sequence from text. since the usage is for subsequent caching, we never add bos and eos chars here. Instead we add those dynamically later; based on the config option.""" - phonemes = phoneme_to_sequence(text, [self.cleaners], - language=self.phoneme_language, + phonemes = phoneme_to_sequence(text, [cleaners], + language=language, enable_eos_bos=False, - tp=self.tp, add_blank=self.add_blank) + tp=tp, add_blank=add_blank) phonemes = np.asarray(phonemes, dtype=np.int32) np.save(cache_path, phonemes) return phonemes - def _load_or_generate_phoneme_sequence(self, wav_file, text): + @staticmethod + def _load_or_generate_phoneme_sequence(wav_file, text, phoneme_cache_path, enable_eos_bos, cleaners, language, tp, add_blank): file_name = os.path.splitext(os.path.basename(wav_file))[0] - cache_path = os.path.join(self.phoneme_cache_path, - file_name + '_phoneme.npy') + + # different names for normal phonemes and with blank chars. + file_name_ext = '_blanked_phoneme.npy' if add_blank else '_phoneme.npy' + cache_path = os.path.join(phoneme_cache_path, + file_name + file_name_ext) try: phonemes = np.load(cache_path) except FileNotFoundError: - phonemes = self._generate_and_cache_phoneme_sequence( - text, cache_path) + phonemes = MyDataset._generate_and_cache_phoneme_sequence( + text, cache_path, cleaners, language, tp, add_blank) except (ValueError, IOError): - print(" > ERROR: failed loading phonemes for {}. " + print(" [!] failed loading phonemes for {}. " "Recomputing.".format(wav_file)) - phonemes = self._generate_and_cache_phoneme_sequence( - text, cache_path) - if self.enable_eos_bos: - phonemes = pad_with_eos_bos(phonemes, tp=self.tp) + phonemes = MyDataset._generate_and_cache_phoneme_sequence( + text, cache_path, cleaners, language, tp, add_blank) + if enable_eos_bos: + phonemes = pad_with_eos_bos(phonemes, tp=tp) phonemes = np.asarray(phonemes, dtype=np.int32) return phonemes From 7505c0ba27d622fd006be9ea8f903ff6a5d300dd Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 7 Dec 2020 11:29:41 +0100 Subject: [PATCH 010/108] muliprocess phoneme computation --- TTS/tts/datasets/TTSDataset.py | 47 ++++++++++++++++++++++++++++++---- 1 file changed, 42 insertions(+), 5 deletions(-) diff --git a/TTS/tts/datasets/TTSDataset.py b/TTS/tts/datasets/TTSDataset.py index 65ceb7dd..88545d45 100644 --- a/TTS/tts/datasets/TTSDataset.py +++ b/TTS/tts/datasets/TTSDataset.py @@ -134,11 +134,13 @@ class MyDataset(Dataset): wav = np.asarray(self.load_wav(wav_file), dtype=np.float32) - if self.use_phonemes: - text = self._load_or_generate_phoneme_sequence(wav_file, text) - else: - text = np.asarray(text_to_sequence(text, [self.cleaners], - tp=self.tp, add_blank=self.add_blank), + if not self.input_seq_computed: + if self.use_phonemes: + text = self._load_or_generate_phoneme_sequence(wav_file, text, self.phoneme_cache_path, self.enable_eos_bos, self.cleaners, self.phoneme_language, self.tp, self.add_blank) + + else: + text = np.asarray(text_to_sequence(text, [self.cleaners], + tp=self.tp, add_blank=self.add_blank), dtype=np.int32) assert text.size > 0, self.items[idx][1] @@ -163,6 +165,41 @@ class MyDataset(Dataset): } return sample + @staticmethod + def _phoneme_worker(args): + item = args[0] + func_args = args[1] + text, wav_file, *_ = item + phonemes = MyDataset._load_or_generate_phoneme_sequence(wav_file, text, *func_args) + return phonemes + + def compute_input_seq(self, num_workers=0): + """compute input sequences separately. Call it before + passing dataset to data loader.""" + if not self.use_phonemes: + if self.verbose: + print(" | > Computing input sequences ...") + for idx, item in enumerate(tqdm.tqdm(self.items)): + text, *_ = item + sequence = np.asarray(text_to_sequence(text, [self.cleaners], + tp=self.tp, add_blank=self.add_blank), + dtype=np.int32) + self.items[idx][0] = sequence + + else: + func_args = [self.phoneme_cache_path, self.enable_eos_bos, self.cleaners, self.phoneme_language, self.tp, self.add_blank] + if self.verbose: + print(" | > Computing phonemes ...") + if num_workers == 0: + for idx, item in enumerate(tqdm.tqdm(self.items)): + phonemes = self._phoneme_worker([item, func_args]) + self.items[idx][0] = phonemes + else: + with Pool(num_workers) as p: + phonemes = list(tqdm.tqdm(p.imap(MyDataset._phoneme_worker, [[item, func_args] for item in self.items]), total=len(self.items))) + for idx, p in enumerate(phonemes): + self.items[idx][0] = p + def sort_items(self): r"""Sort instances based on text length in ascending order""" lengths = np.array([len(ins[0]) for ins in self.items]) From 482e725752da48d8d3757fb0ba9c4670c122c7f4 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 7 Dec 2020 11:30:19 +0100 Subject: [PATCH 011/108] sync torch calls before logging training results --- TTS/bin/train_glow_tts.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/TTS/bin/train_glow_tts.py b/TTS/bin/train_glow_tts.py index 45e34a5e..70d0506a 100644 --- a/TTS/bin/train_glow_tts.py +++ b/TTS/bin/train_glow_tts.py @@ -186,7 +186,7 @@ def train(data_loader, model, criterion, optimizer, scheduler, # forward pass model with torch.cuda.amp.autocast(enabled=c.mixed_precision): z, logdet, y_mean, y_log_scale, alignments, o_dur_log, o_total_dur = model.forward( - text_input, text_lengths, mel_input, mel_lengths, attn_mask, g=speaker_ids) + text_input, text_lengths, mel_input, mel_lengths, attn_mask, g=speaker_c) # compute loss loss_dict = criterion(z, y_mean, y_log_scale, logdet, mel_lengths, @@ -273,6 +273,9 @@ def train(data_loader, model, criterion, optimizer, scheduler, save_checkpoint(model, optimizer, global_step, epoch, 1, OUT_PATH, model_loss=loss_dict['loss']) + # wait all kernels to be completed + torch.cuda.synchronize() + # Diagnostic visualizations # direct pass on model for spec predictions target_speaker = None if speaker_c is None else speaker_c[:1] From 5595cbd8382b52aaad9e7b7c8813aacd974ed1be Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 7 Dec 2020 11:31:41 +0100 Subject: [PATCH 012/108] update version --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index ab76317b..d55b2c12 100644 --- a/setup.py +++ b/setup.py @@ -33,7 +33,7 @@ args, unknown_args = parser.parse_known_args() # Remove our arguments from argv so that setuptools doesn't see them sys.argv = [sys.argv[0]] + unknown_args -version = '0.0.7' +version = '0.0.8' # Adapted from https://github.com/pytorch/pytorch cwd = os.path.dirname(os.path.abspath(__file__)) From 06612ce3055d483a9a347abe746551658ee0a43a Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 7 Dec 2020 15:57:34 +0100 Subject: [PATCH 013/108] test fixes --- TTS/bin/distribute_tts.py | 65 ----------------------------- TTS/tts/utils/generic_utils.py | 1 + tests/inputs/test_glow_tts.json | 2 + tests/inputs/test_train_config.json | 1 + tests/test_tacotron_train.sh | 5 +-- tests/test_tts_train.sh | 13 ------ 6 files changed, 6 insertions(+), 81 deletions(-) delete mode 100644 TTS/bin/distribute_tts.py delete mode 100755 tests/test_tts_train.sh diff --git a/TTS/bin/distribute_tts.py b/TTS/bin/distribute_tts.py deleted file mode 100644 index 470f6d1c..00000000 --- a/TTS/bin/distribute_tts.py +++ /dev/null @@ -1,65 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- - -import os -import sys -import pathlib -import time -import subprocess -import argparse -import torch - - -def main(): - """ - Call train.py as a new process and pass command arguments - """ - parser = argparse.ArgumentParser() - parser.add_argument( - '--continue_path', - type=str, - help='Training output folder to continue training. Use to continue a training. If it is used, "config_path" is ignored.', - default='', - required='--config_path' not in sys.argv) - parser.add_argument( - '--restore_path', - type=str, - help='Model file to be restored. Use to finetune a model.', - default='') - parser.add_argument( - '--config_path', - type=str, - help='Path to config file for training.', - required='--continue_path' not in sys.argv - ) - args = parser.parse_args() - - num_gpus = torch.cuda.device_count() - group_id = time.strftime("%Y_%m_%d-%H%M%S") - - # set arguments for train.py - folder_path = pathlib.Path(__file__).parent.absolute() - command = [os.path.join(folder_path, 'train_tts.py')] - command.append('--continue_path={}'.format(args.continue_path)) - command.append('--restore_path={}'.format(args.restore_path)) - command.append('--config_path={}'.format(args.config_path)) - command.append('--group_id=group_{}'.format(group_id)) - command.append('') - - # run processes - processes = [] - for i in range(num_gpus): - my_env = os.environ.copy() - my_env["PYTHON_EGG_CACHE"] = "/tmp/tmp{}".format(i) - command[-1] = '--rank={}'.format(i) - stdout = None if i == 0 else open(os.devnull, 'w') - p = subprocess.Popen(['python3'] + command, stdout=stdout, env=my_env) - processes.append(p) - print(command) - - for p in processes: - p.wait() - - -if __name__ == '__main__': - main() diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 3a01f2a2..48b00fa5 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -248,6 +248,7 @@ def check_config_tts(c): check_argument('batch_group_size', c, restricted=True, val_type=int, min_val=0) check_argument('min_seq_len', c, restricted=True, val_type=int, min_val=0) check_argument('max_seq_len', c, restricted=True, val_type=int, min_val=10) + check_argument('compute_input_seq_cache', c, restricted=True, val_type=bool) # paths check_argument('output_path', c, restricted=True, val_type=str) diff --git a/tests/inputs/test_glow_tts.json b/tests/inputs/test_glow_tts.json index c1bc33fd..99f9eaf9 100644 --- a/tests/inputs/test_glow_tts.json +++ b/tests/inputs/test_glow_tts.json @@ -70,6 +70,7 @@ "eval_batch_size":1, "r": 1, // Number of decoder frames to predict per iteration. Set the initial values if gradual training is enabled. "loss_masking": true, // enable / disable loss masking against the sequence padding. + "data_dep_init_iter": 1, // VALIDATION "run_eval": true, @@ -105,6 +106,7 @@ "min_seq_len": 3, // DATASET-RELATED: minimum text length to use in training "max_seq_len": 500, // DATASET-RELATED: maximum text length "compute_f0": false, // compute f0 values in data-loader + "compute_input_seq_cache": true, // PATHS "output_path": "tests/train_outputs/", diff --git a/tests/inputs/test_train_config.json b/tests/inputs/test_train_config.json index 5b2dff2d..6be85314 100644 --- a/tests/inputs/test_train_config.json +++ b/tests/inputs/test_train_config.json @@ -132,6 +132,7 @@ "batch_group_size": 0, //Number of batches to shuffle after bucketing. "min_seq_len": 6, // DATASET-RELATED: minimum text length to use in training "max_seq_len": 153, // DATASET-RELATED: maximum text length + "compute_input_seq_cache": true, // PATHS "output_path": "tests/train_outputs/", diff --git a/tests/test_tacotron_train.sh b/tests/test_tacotron_train.sh index 8138fb75..9268ea96 100755 --- a/tests/test_tacotron_train.sh +++ b/tests/test_tacotron_train.sh @@ -1,14 +1,13 @@ #!/usr/bin/env bash - set -xe BASEDIR=$(dirname "$0") echo "$BASEDIR" # run training -CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tts.py --config_path $BASEDIR/inputs/test_train_config.json +CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tacotron.py --config_path $BASEDIR/inputs/test_train_config.json # find the training folder LATEST_FOLDER=$(ls $BASEDIR/train_outputs/| sort | tail -1) echo $LATEST_FOLDER # continue the previous training -CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tts.py --continue_path $BASEDIR/train_outputs/$LATEST_FOLDER +CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tacotron.py --continue_path $BASEDIR/train_outputs/$LATEST_FOLDER # remove all the outputs rm -rf $BASEDIR/train_outputs/ diff --git a/tests/test_tts_train.sh b/tests/test_tts_train.sh deleted file mode 100755 index 9268ea96..00000000 --- a/tests/test_tts_train.sh +++ /dev/null @@ -1,13 +0,0 @@ -#!/usr/bin/env bash -set -xe -BASEDIR=$(dirname "$0") -echo "$BASEDIR" -# run training -CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tacotron.py --config_path $BASEDIR/inputs/test_train_config.json -# find the training folder -LATEST_FOLDER=$(ls $BASEDIR/train_outputs/| sort | tail -1) -echo $LATEST_FOLDER -# continue the previous training -CUDA_VISIBLE_DEVICES="" python TTS/bin/train_tacotron.py --continue_path $BASEDIR/train_outputs/$LATEST_FOLDER -# remove all the outputs -rm -rf $BASEDIR/train_outputs/ From c57fd7387209d7da3dae754e0aa440e5e9c336ad Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=B6rg=20Thalheim?= Date: Sun, 6 Dec 2020 06:38:32 +0100 Subject: [PATCH 014/108] specify build dependencies Reading setup.py will import numpy already, hence pip has no way to figure out what dependencies are needed. --- pyproject.toml | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 pyproject.toml diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 00000000..997b713f --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,2 @@ +[build-system] +requires = ["setuptools", "wheel", "Cython", "numpy>=1.16.0,<1.20"] From 857172ba3fddbc1c6573535ec5f06b259da46ff6 Mon Sep 17 00:00:00 2001 From: Martin Weinelt Date: Sun, 15 Nov 2020 01:52:08 +0100 Subject: [PATCH 015/108] Migrate to github actions for CI tests --- .github/workflows/test.yml | 49 ++++++++++++++++++++++++++++++++++++ .travis.yml | 32 ----------------------- .travis/script | 22 ---------------- requirements.txt | 4 +-- tests/test_server_package.sh | 16 ++++++------ 5 files changed, 60 insertions(+), 63 deletions(-) create mode 100644 .github/workflows/test.yml delete mode 100644 .travis.yml delete mode 100755 .travis/script diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml new file mode 100644 index 00000000..0e47e9a0 --- /dev/null +++ b/.github/workflows/test.yml @@ -0,0 +1,49 @@ +name: Test + +on: + push: + pull_request: + types: [opened, synchronize, reopened] + +jobs: + test: + + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + python-version: [3.6, 3.7, 3.8] + + steps: + - uses: actions/checkout@v2 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + - name: Install dependencies + run: | + sudo apt update + sudo apt install espeak git + - name: Upgrade pip + # so we can take advantage of pyproject.toml build-dependency support + run: python3 -m pip install --upgrade pip + - name: Install TTS + run: | + python3 -m pip install . + python3 setup.py egg_info + - name: Lint check + run: | + python3 -m pip install --quiet --upgrade cardboardlint pylint + cardboardlinter --refspec ${GITHUB_BASE_REF} -n auto + - name: Unit tests + run: nosetests tests --nocapture + - name: Test scripts + run: | + ./tests/test_server_package.sh + ./tests/test_glow-tts_train.sh + ./tests/test_server_package.sh + ./tests/test_tacotron_train.sh + ./tests/test_vocoder_gan_train.sh + ./tests/test_vocoder_wavegrad_train.sh + ./tests/test_vocoder_wavernn_train.sh + diff --git a/.travis.yml b/.travis.yml deleted file mode 100644 index 28500a81..00000000 --- a/.travis.yml +++ /dev/null @@ -1,32 +0,0 @@ -language: python - -git: - quiet: true - -before_install: - - sudo apt-get update - - sudo apt-get -y install espeak - - python -m pip install --upgrade pip - - pip install six==1.12.0 - - pip install --upgrade cython - -matrix: - include: - - name: "Lint check" - python: "3.6" - install: pip install --quiet --upgrade cardboardlint pylint - env: TEST_SUITE="lint" - - name: "Unit tests" - python: "3.6" - install: - - python setup.py egg_info - - pip install -e . - env: TEST_SUITE="unittest" - - name: "Unit tests" - python: "3.6" - install: - - python setup.py egg_info - - pip install -e . - env: TEST_SUITE="testscripts" - -script: ./.travis/script diff --git a/.travis/script b/.travis/script deleted file mode 100755 index 0860f9cf..00000000 --- a/.travis/script +++ /dev/null @@ -1,22 +0,0 @@ -#!/bin/bash -set -ex - -git remote set-branches --add origin $TRAVIS_BRANCH -git fetch - -if [[ ( "$TRAVIS_PULL_REQUEST" != "false" ) && ( "$TEST_SUITE" == "lint" ) ]]; then - # Run cardboardlinter, in case of pull requests - cardboardlinter --refspec origin/$TRAVIS_BRANCH -n auto -fi - -if [[ "$TEST_SUITE" == "unittest" ]]; then - nosetests tests --nocapture - ./tests/test_server_package.sh -fi - -if [[ "$TEST_SUITE" == "testscripts" ]]; then - # test model training scripts - ./tests/test_tts_train.sh - ./tests/test_vocoder_gan_train.sh - ./tests/test_vocoder_wavernn_train.sh -fi diff --git a/requirements.txt b/requirements.txt index 31b49916..921af308 100644 --- a/requirements.txt +++ b/requirements.txt @@ -18,8 +18,8 @@ pysbd pyworld soundfile nose==1.3.7 -cardboardlint==1.3.0 -pylint==2.5.3 +cardboardlint +pylint gdown umap-learn cython diff --git a/tests/test_server_package.sh b/tests/test_server_package.sh index 7e75415a..0b3395a7 100755 --- a/tests/test_server_package.sh +++ b/tests/test_server_package.sh @@ -7,24 +7,26 @@ if [[ ! -f tests/outputs/checkpoint_10.pth.tar ]]; then fi rm -f dist/*.whl -python setup.py --quiet bdist_wheel --checkpoint tests/outputs/checkpoint_10.pth.tar --model_config tests/outputs/dummy_model_config.json +python3 setup.py --quiet bdist_wheel --checkpoint tests/outputs/checkpoint_10.pth.tar --model_config tests/outputs/dummy_model_config.json -python -m venv /tmp/venv +python3 -m venv /tmp/venv source /tmp/venv/bin/activate -pip install --quiet --upgrade pip setuptools wheel -pip install --quiet dist/TTS*.whl +python3 -m pip install --quiet --upgrade pip setuptools wheel cython +# wait to install numpy until we have wheel support +python3 -m pip install numpy +python3 -m pip install --quiet dist/TTS*.whl # this is related to https://github.com/librosa/librosa/issues/1160 -pip install numba==0.48 +python3 -m pip install numba==0.48 -python -m TTS.server.server & +python3 -m TTS.server.server & SERVER_PID=$! echo 'Waiting for server...' sleep 30 curl -o /tmp/audio.wav "http://localhost:5002/api/tts?text=synthesis%20schmynthesis" -python -c 'import sys; import wave; print(wave.open(sys.argv[1]).getnframes())' /tmp/audio.wav +python3 -c 'import sys; import wave; print(wave.open(sys.argv[1]).getnframes())' /tmp/audio.wav kill $SERVER_PID From 128fd94ab178382314af5f6bb3dc875e1335e409 Mon Sep 17 00:00:00 2001 From: Martin Weinelt Date: Mon, 7 Dec 2020 12:57:02 +0100 Subject: [PATCH 016/108] Pin numpy<1.20 for continued python3.6 support Numpy starting with 1.20 has dropped support for Python 3.6. --- requirements.txt | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 921af308..e9af491f 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,7 @@ torch>=1.5 tensorflow==2.3.1 -numpy>=1.16.0 +numpy>=1.16.0; python_version >= "3.7" +numpy>=1.16.0,<1.20; python_version < "3.7" scipy>=0.19.0 numba==0.48 librosa==0.7.2 From d9c518e12d9c9fb18c64787a9e93d91e55684184 Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 8 Dec 2020 11:17:08 +0100 Subject: [PATCH 017/108] update test --- run_tests.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/run_tests.sh b/run_tests.sh index 9abe7803..e04b7cb8 100755 --- a/run_tests.sh +++ b/run_tests.sh @@ -6,7 +6,7 @@ nosetests tests -x &&\ # runtime tests ./tests/test_server_package.sh && \ -./tests/test_tts_train.sh && \ +./tests/test_tacotron_train.sh && \ ./tests/test_glow-tts_train.sh && \ ./tests/test_vocoder_gan_train.sh && \ ./tests/test_vocoder_wavernn_train.sh && \ From 1b133d6ea4cad524c55b80b2aa7bae5b550bffaa Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Eren=20G=C3=B6lge?= Date: Tue, 8 Dec 2020 11:29:49 +0100 Subject: [PATCH 018/108] Revert "Introduce github action for CI" --- .github/workflows/test.yml | 49 ------------------------------------ .travis.yml | 32 +++++++++++++++++++++++ .travis/script | 22 ++++++++++++++++ pyproject.toml | 2 -- requirements.txt | 7 +++--- tests/test_server_package.sh | 16 ++++++------ 6 files changed, 64 insertions(+), 64 deletions(-) delete mode 100644 .github/workflows/test.yml create mode 100644 .travis.yml create mode 100755 .travis/script delete mode 100644 pyproject.toml diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml deleted file mode 100644 index 0e47e9a0..00000000 --- a/.github/workflows/test.yml +++ /dev/null @@ -1,49 +0,0 @@ -name: Test - -on: - push: - pull_request: - types: [opened, synchronize, reopened] - -jobs: - test: - - runs-on: ubuntu-latest - strategy: - fail-fast: false - matrix: - python-version: [3.6, 3.7, 3.8] - - steps: - - uses: actions/checkout@v2 - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v2 - with: - python-version: ${{ matrix.python-version }} - - name: Install dependencies - run: | - sudo apt update - sudo apt install espeak git - - name: Upgrade pip - # so we can take advantage of pyproject.toml build-dependency support - run: python3 -m pip install --upgrade pip - - name: Install TTS - run: | - python3 -m pip install . - python3 setup.py egg_info - - name: Lint check - run: | - python3 -m pip install --quiet --upgrade cardboardlint pylint - cardboardlinter --refspec ${GITHUB_BASE_REF} -n auto - - name: Unit tests - run: nosetests tests --nocapture - - name: Test scripts - run: | - ./tests/test_server_package.sh - ./tests/test_glow-tts_train.sh - ./tests/test_server_package.sh - ./tests/test_tacotron_train.sh - ./tests/test_vocoder_gan_train.sh - ./tests/test_vocoder_wavegrad_train.sh - ./tests/test_vocoder_wavernn_train.sh - diff --git a/.travis.yml b/.travis.yml new file mode 100644 index 00000000..28500a81 --- /dev/null +++ b/.travis.yml @@ -0,0 +1,32 @@ +language: python + +git: + quiet: true + +before_install: + - sudo apt-get update + - sudo apt-get -y install espeak + - python -m pip install --upgrade pip + - pip install six==1.12.0 + - pip install --upgrade cython + +matrix: + include: + - name: "Lint check" + python: "3.6" + install: pip install --quiet --upgrade cardboardlint pylint + env: TEST_SUITE="lint" + - name: "Unit tests" + python: "3.6" + install: + - python setup.py egg_info + - pip install -e . + env: TEST_SUITE="unittest" + - name: "Unit tests" + python: "3.6" + install: + - python setup.py egg_info + - pip install -e . + env: TEST_SUITE="testscripts" + +script: ./.travis/script diff --git a/.travis/script b/.travis/script new file mode 100755 index 00000000..0860f9cf --- /dev/null +++ b/.travis/script @@ -0,0 +1,22 @@ +#!/bin/bash +set -ex + +git remote set-branches --add origin $TRAVIS_BRANCH +git fetch + +if [[ ( "$TRAVIS_PULL_REQUEST" != "false" ) && ( "$TEST_SUITE" == "lint" ) ]]; then + # Run cardboardlinter, in case of pull requests + cardboardlinter --refspec origin/$TRAVIS_BRANCH -n auto +fi + +if [[ "$TEST_SUITE" == "unittest" ]]; then + nosetests tests --nocapture + ./tests/test_server_package.sh +fi + +if [[ "$TEST_SUITE" == "testscripts" ]]; then + # test model training scripts + ./tests/test_tts_train.sh + ./tests/test_vocoder_gan_train.sh + ./tests/test_vocoder_wavernn_train.sh +fi diff --git a/pyproject.toml b/pyproject.toml deleted file mode 100644 index 997b713f..00000000 --- a/pyproject.toml +++ /dev/null @@ -1,2 +0,0 @@ -[build-system] -requires = ["setuptools", "wheel", "Cython", "numpy>=1.16.0,<1.20"] diff --git a/requirements.txt b/requirements.txt index e9af491f..31b49916 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,7 +1,6 @@ torch>=1.5 tensorflow==2.3.1 -numpy>=1.16.0; python_version >= "3.7" -numpy>=1.16.0,<1.20; python_version < "3.7" +numpy>=1.16.0 scipy>=0.19.0 numba==0.48 librosa==0.7.2 @@ -19,8 +18,8 @@ pysbd pyworld soundfile nose==1.3.7 -cardboardlint -pylint +cardboardlint==1.3.0 +pylint==2.5.3 gdown umap-learn cython diff --git a/tests/test_server_package.sh b/tests/test_server_package.sh index 0b3395a7..7e75415a 100755 --- a/tests/test_server_package.sh +++ b/tests/test_server_package.sh @@ -7,26 +7,24 @@ if [[ ! -f tests/outputs/checkpoint_10.pth.tar ]]; then fi rm -f dist/*.whl -python3 setup.py --quiet bdist_wheel --checkpoint tests/outputs/checkpoint_10.pth.tar --model_config tests/outputs/dummy_model_config.json +python setup.py --quiet bdist_wheel --checkpoint tests/outputs/checkpoint_10.pth.tar --model_config tests/outputs/dummy_model_config.json -python3 -m venv /tmp/venv +python -m venv /tmp/venv source /tmp/venv/bin/activate -python3 -m pip install --quiet --upgrade pip setuptools wheel cython -# wait to install numpy until we have wheel support -python3 -m pip install numpy -python3 -m pip install --quiet dist/TTS*.whl +pip install --quiet --upgrade pip setuptools wheel +pip install --quiet dist/TTS*.whl # this is related to https://github.com/librosa/librosa/issues/1160 -python3 -m pip install numba==0.48 +pip install numba==0.48 -python3 -m TTS.server.server & +python -m TTS.server.server & SERVER_PID=$! echo 'Waiting for server...' sleep 30 curl -o /tmp/audio.wav "http://localhost:5002/api/tts?text=synthesis%20schmynthesis" -python3 -c 'import sys; import wave; print(wave.open(sys.argv[1]).getnframes())' /tmp/audio.wav +python -c 'import sys; import wave; print(wave.open(sys.argv[1]).getnframes())' /tmp/audio.wav kill $SERVER_PID From a141a717e475f3c92663b7d33da365204b4d9f36 Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 8 Dec 2020 15:30:59 +0100 Subject: [PATCH 019/108] circle-ci config.yml --- .circleci/config.yml | 56 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 56 insertions(+) create mode 100644 .circleci/config.yml diff --git a/.circleci/config.yml b/.circleci/config.yml new file mode 100644 index 00000000..93562418 --- /dev/null +++ b/.circleci/config.yml @@ -0,0 +1,56 @@ +version: 2 + +workflows: + version: 2 + test: + jobs: + - test-3.6 + - test-3.7 + - test-3.8 + +executor: ubuntu-latest + +on: + push: + pull_request: + types: [opened, synchronize, reopened] + +jobs: + test-3.6: &test-template + docker: + - image: circleci/python:3.6 + resource_class: large + working_directory: ~/repo + steps: + - checkout + - run: | + sudo apt update + sudo apt install espeak git + # so we can take advantage of pyproject.toml build-dependency support + - run: python3 -m pip install --upgrade pip + - run: python3 -m pip install numpy Cython + - run: | + python3 setup.py egg_info + python3 -m pip install -e . + - run: | + python3 -m pip install --quiet --upgrade cardboardlint pylint + cardboardlinter --refspec ${CIRCLE_BRANCH} -n auto + - run: nosetests tests --nocapture + - run: | + ./tests/test_server_package.sh + ./tests/test_glow-tts_train.sh + ./tests/test_server_package.sh + ./tests/test_tacotron_train.sh + ./tests/test_vocoder_gan_train.sh + ./tests/test_vocoder_wavegrad_train.sh + ./tests/test_vocoder_wavernn_train.sh + + test-3.7: + <<: *test-template + docker: + - image: circleci/python:3.7 + + test-3.8: + <<: *test-template + docker: + - image: circleci/python:3.8 From d19eca24614423b894e037268276ed25970c4df5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Eren=20G=C3=B6lge?= Date: Tue, 8 Dec 2020 16:28:18 +0100 Subject: [PATCH 020/108] update CI status badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e3c24d3b..10654726 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@

- + mozilla

From e39628ce2fa94cbb784b245f84a602855bd9be22 Mon Sep 17 00:00:00 2001 From: Thorsten Mueller Date: Tue, 8 Dec 2020 18:44:19 +0100 Subject: [PATCH 021/108] Limit filenames to 10 chars --- TTS/bin/synthesize.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/TTS/bin/synthesize.py b/TTS/bin/synthesize.py index 1756b82e..b08f9345 100644 --- a/TTS/bin/synthesize.py +++ b/TTS/bin/synthesize.py @@ -25,7 +25,7 @@ def tts(model, vocoder_model, text, CONFIG, use_cuda, ap, use_gl, speaker_fileid # grab spectrogram (thx to the nice guys at mozilla discourse for codesnipplet) if args.save_spectogram: - spec_file_name = args.text.replace(" ", "_") + spec_file_name = args.text.replace(" ", "_")[0:10] spec_file_name = spec_file_name.translate( str.maketrans('', '', string.punctuation.replace('_', ''))) + '.npy' spec_file_name = os.path.join(args.out_path, spec_file_name) @@ -188,7 +188,7 @@ if __name__ == "__main__": wav = tts(model, vocoder_model, args.text, C, args.use_cuda, ap, use_griffin_lim, args.speaker_fileid, speaker_embedding=speaker_embedding, gst_style=gst_style) # save the results - file_name = args.text.replace(" ", "_") + file_name = args.text.replace(" ", "_")[0:10] file_name = file_name.translate( str.maketrans('', '', string.punctuation.replace('_', ''))) + '.wav' out_path = os.path.join(args.out_path, file_name) From df180148e9fd7a8cfe428179bc6e7d0533cdd56a Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 9 Dec 2020 15:46:25 +0100 Subject: [PATCH 022/108] use noise augmentation in TTSDataset --- TTS/bin/train_glow_tts.py | 1 + TTS/tts/datasets/TTSDataset.py | 7 +++++++ 2 files changed, 8 insertions(+) diff --git a/TTS/bin/train_glow_tts.py b/TTS/bin/train_glow_tts.py index 70d0506a..f56dfb5e 100644 --- a/TTS/bin/train_glow_tts.py +++ b/TTS/bin/train_glow_tts.py @@ -57,6 +57,7 @@ def setup_loader(ap, r, is_val=False, verbose=False): use_phonemes=c.use_phonemes, phoneme_language=c.phoneme_language, enable_eos_bos=c.enable_eos_bos_chars, + use_noise_augment=not is_val, verbose=verbose, speaker_mapping=speaker_mapping if c.use_speaker_embedding and c.use_external_speaker_embedding_file else None) diff --git a/TTS/tts/datasets/TTSDataset.py b/TTS/tts/datasets/TTSDataset.py index 88545d45..38dd2890 100644 --- a/TTS/tts/datasets/TTSDataset.py +++ b/TTS/tts/datasets/TTSDataset.py @@ -30,6 +30,7 @@ class MyDataset(Dataset): phoneme_language="en-us", enable_eos_bos=False, speaker_mapping=None, + use_noise_augment=False, verbose=False): """ Args: @@ -48,6 +49,7 @@ class MyDataset(Dataset): phoneme_language (str): one the languages from https://github.com/bootphon/phonemizer#languages enable_eos_bos (bool): enable end of sentence and beginning of sentences characters. + use_noise_augment (bool): enable adding random noise to wav for augmentation. verbose (bool): print diagnostic information. """ self.batch_group_size = batch_group_size @@ -66,6 +68,7 @@ class MyDataset(Dataset): self.phoneme_language = phoneme_language self.enable_eos_bos = enable_eos_bos self.speaker_mapping = speaker_mapping + self.use_noise_augment = use_noise_augment self.verbose = verbose self.input_seq_computed = False if use_phonemes and not os.path.isdir(phoneme_cache_path): @@ -134,6 +137,10 @@ class MyDataset(Dataset): wav = np.asarray(self.load_wav(wav_file), dtype=np.float32) + # apply noise for augmentation + if self.use_noise_augment: + wav = wav + (1.0 / 32768.0) * np.random.rand(*wav.shape) + if not self.input_seq_computed: if self.use_phonemes: text = self._load_or_generate_phoneme_sequence(wav_file, text, self.phoneme_cache_path, self.enable_eos_bos, self.cleaners, self.phoneme_language, self.tp, self.add_blank) From 53679b706da2bc38510b467289be844f8e6e9d24 Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 9 Dec 2020 23:39:09 +0100 Subject: [PATCH 023/108] glow-tts distributed fix --- TTS/bin/train_glow_tts.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/TTS/bin/train_glow_tts.py b/TTS/bin/train_glow_tts.py index f56dfb5e..60be8fa0 100644 --- a/TTS/bin/train_glow_tts.py +++ b/TTS/bin/train_glow_tts.py @@ -280,7 +280,12 @@ def train(data_loader, model, criterion, optimizer, scheduler, # Diagnostic visualizations # direct pass on model for spec predictions target_speaker = None if speaker_c is None else speaker_c[:1] - spec_pred, *_ = model.inference(text_input[:1], text_lengths[:1], g=target_speaker) + + if hasattr(model, 'module'): + spec_pred, *_ = model.module.inference(text_input[:1], text_lengths[:1], g=target_speaker) + else: + spec_pred, *_ = model.inference(text_input[:1], text_lengths[:1], g=target_speaker) + spec_pred = spec_pred.permute(0, 2, 1) gt_spec = mel_input.permute(0, 2, 1) const_spec = spec_pred[0].data.cpu().numpy() From 92cc9630d7b288662abb3886c1e226800ac79fec Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 10 Dec 2020 00:30:34 +0100 Subject: [PATCH 024/108] fix glow-tts synthesis for DPP --- TTS/tts/utils/synthesis.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/TTS/tts/utils/synthesis.py b/TTS/tts/utils/synthesis.py index cad1d21f..8b2fbec6 100644 --- a/TTS/tts/utils/synthesis.py +++ b/TTS/tts/utils/synthesis.py @@ -62,7 +62,11 @@ def run_model_torch(model, inputs, CONFIG, truncated, speaker_id=None, style_mel inputs, speaker_ids=speaker_id, speaker_embeddings=speaker_embeddings) elif 'glow' in CONFIG.model.lower(): inputs_lengths = torch.tensor(inputs.shape[1:2]).to(inputs.device) # pylint: disable=not-callable - postnet_output, _, _, _, alignments, _, _ = model.inference(inputs, inputs_lengths, g=speaker_id if speaker_id else speaker_embeddings) + if hasattr(model, 'module'): + # distributed model + postnet_output, _, _, _, alignments, _, _ = model.module.inference(inputs, inputs_lengths, g=speaker_id if speaker_id else speaker_embeddings) + else: + postnet_output, _, _, _, alignments, _, _ = model.inference(inputs, inputs_lengths, g=speaker_id if speaker_id else speaker_embeddings) postnet_output = postnet_output.permute(0, 2, 1) # these only belong to tacotron models. decoder_output = None From 788cd6f9024e627275381481f606afa6ae80e04b Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 10 Dec 2020 02:05:48 +0100 Subject: [PATCH 025/108] fix multi-speaker glow-tts inference --- TTS/tts/utils/synthesis.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/TTS/tts/utils/synthesis.py b/TTS/tts/utils/synthesis.py index 8b2fbec6..76fdb3de 100644 --- a/TTS/tts/utils/synthesis.py +++ b/TTS/tts/utils/synthesis.py @@ -64,9 +64,9 @@ def run_model_torch(model, inputs, CONFIG, truncated, speaker_id=None, style_mel inputs_lengths = torch.tensor(inputs.shape[1:2]).to(inputs.device) # pylint: disable=not-callable if hasattr(model, 'module'): # distributed model - postnet_output, _, _, _, alignments, _, _ = model.module.inference(inputs, inputs_lengths, g=speaker_id if speaker_id else speaker_embeddings) + postnet_output, _, _, _, alignments, _, _ = model.module.inference(inputs, inputs_lengths, g=speaker_id if speaker_id is not None else speaker_embeddings) else: - postnet_output, _, _, _, alignments, _, _ = model.inference(inputs, inputs_lengths, g=speaker_id if speaker_id else speaker_embeddings) + postnet_output, _, _, _, alignments, _, _ = model.inference(inputs, inputs_lengths, g=speaker_id if speaker_id is not None else speaker_embeddings) postnet_output = postnet_output.permute(0, 2, 1) # these only belong to tacotron models. decoder_output = None From a2859b7ddcb8c7b6bebc801111a68aabfa9c261f Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 10 Dec 2020 13:45:30 +0100 Subject: [PATCH 026/108] update config args checks --- TTS/tts/utils/generic_utils.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 48b00fa5..928c9dfc 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -177,7 +177,7 @@ def check_config_tts(c): check_argument('eval_batch_size', c, restricted=True, val_type=int, min_val=1) check_argument('r', c, restricted=True, val_type=int, min_val=1) check_argument('gradual_training', c, restricted=False, val_type=list) - check_argument('apex_amp_level', c, restricted=False, val_type=str) + check_argument('mixed_precision', c, restricted=False, val_type=bool) # check_argument('grad_accum', c, restricted=True, val_type=int, min_val=1, max_val=100) # loss parameters @@ -224,9 +224,10 @@ def check_config_tts(c): check_argument('double_decoder_consistency', c, restricted=is_tacotron(c), val_type=bool) check_argument('ddc_r', c, restricted='double_decoder_consistency' in c.keys(), min_val=1, max_val=7, val_type=int) - # stopnet - check_argument('stopnet', c, restricted=is_tacotron(c), val_type=bool) - check_argument('separate_stopnet', c, restricted=is_tacotron(c), val_type=bool) + if c['model'].lower() in ['tacotron', 'tacotron2']: + # stopnet + check_argument('stopnet', c, restricted=is_tacotron(c), val_type=bool) + check_argument('separate_stopnet', c, restricted=is_tacotron(c), val_type=bool) # GlowTTS parameters check_argument('encoder_type', c, restricted=not is_tacotron(c), val_type=str) @@ -257,8 +258,8 @@ def check_config_tts(c): check_argument('use_speaker_embedding', c, restricted=True, val_type=bool) check_argument('use_external_speaker_embedding_file', c, restricted=c['use_speaker_embedding'], val_type=bool) check_argument('external_speaker_embedding_file', c, restricted=c['use_external_speaker_embedding_file'], val_type=str) - check_argument('use_gst', c, restricted=is_tacotron(c), val_type=bool) if c['model'].lower() in ['tacotron', 'tacotron2'] and c['use_gst']: + check_argument('use_gst', c, restricted=is_tacotron(c), val_type=bool) check_argument('gst', c, restricted=is_tacotron(c), val_type=dict) check_argument('gst_style_input', c['gst'], restricted=is_tacotron(c), val_type=[str, dict]) check_argument('gst_embedding_dim', c['gst'], restricted=is_tacotron(c), val_type=int, min_val=0, max_val=1000) From 58687f9c34b9d6d644eaebb9a4e31b27c522cbca Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=B6rg=20Thalheim?= Date: Sat, 5 Dec 2020 09:45:04 +0100 Subject: [PATCH 027/108] tests/test_text_processing: fix undefined variable --- tests/test_text_processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_text_processing.py b/tests/test_text_processing.py index ae3250a8..d6bcbe61 100644 --- a/tests/test_text_processing.py +++ b/tests/test_text_processing.py @@ -171,4 +171,4 @@ def test_text2phone(): gt = "ɹ|iː|s|ə|n|t| |ɹ|ɪ|s|ɜː|tʃ| |æ|t| |h|ɑːɹ|v|ɚ|d| |h|ɐ|z| |ʃ|oʊ|n| |m|ɛ|d|ᵻ|t|eɪ|ɾ|ɪ|ŋ| |f|ɔː|ɹ| |æ|z| |l|ɪ|ɾ|əl| |æ|z| |eɪ|t| |w|iː|k|s| |k|æ|n| |æ|k|tʃ|uː|əl|i| |ɪ|n|k|ɹ|iː|s|,| |ð|ə| |ɡ|ɹ|eɪ| |m|æ|ɾ|ɚ|ɹ| |ɪ|n|ð|ə| |p|ɑːɹ|t|s| |ʌ|v|ð|ə| |b|ɹ|eɪ|n| |ɹ|ɪ|s|p|ɑː|n|s|ə|b|əl| |f|ɔː|ɹ| |ɪ|m|oʊ|ʃ|ə|n|əl| |ɹ|ɛ|ɡ|j|uː|l|eɪ|ʃ|ə|n| |æ|n|d| |l|ɜː|n|ɪ|ŋ|!" lang = "en-us" ph = text2phone(text, lang) - assert gt == ph, f"\n{phonemes} \n vs \n{gt}" + assert gt == ph, f"\n{ph} \n vs \n{gt}" From 76138687d3445514e7c615617267a4203f193a7f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=B6rg=20Thalheim?= Date: Sat, 5 Dec 2020 09:45:57 +0100 Subject: [PATCH 028/108] expand more currencies --- TTS/tts/utils/text/cleaners.py | 2 +- TTS/tts/utils/text/number_norm.py | 71 ++++++++++++++++++++++--------- 2 files changed, 51 insertions(+), 22 deletions(-) diff --git a/TTS/tts/utils/text/cleaners.py b/TTS/tts/utils/text/cleaners.py index 492a1017..190f52aa 100644 --- a/TTS/tts/utils/text/cleaners.py +++ b/TTS/tts/utils/text/cleaners.py @@ -122,8 +122,8 @@ def portuguese_cleaners(text): def phoneme_cleaners(text): '''Pipeline for phonemes mode, including number and abbreviation expansion.''' - text = convert_to_ascii(text) text = expand_numbers(text) + text = convert_to_ascii(text) text = expand_abbreviations(text) text = replace_symbols(text) text = remove_aux_symbols(text) diff --git a/TTS/tts/utils/text/number_norm.py b/TTS/tts/utils/text/number_norm.py index 50de8d5c..a366ae42 100644 --- a/TTS/tts/utils/text/number_norm.py +++ b/TTS/tts/utils/text/number_norm.py @@ -2,12 +2,12 @@ import inflect import re +from typing import Dict _inflect = inflect.engine() _comma_number_re = re.compile(r'([0-9][0-9\,]+[0-9])') _decimal_number_re = re.compile(r'([0-9]+\.[0-9]+)') -_pounds_re = re.compile(r'£([0-9\,]*[0-9]+)') -_dollars_re = re.compile(r'\$([0-9\.\,]*[0-9]+)') +_currency_re = re.compile(r'(£|\$|¥)([0-9\,\.]*[0-9]+)') _ordinal_re = re.compile(r'[0-9]+(st|nd|rd|th)') _number_re = re.compile(r'[0-9]+') @@ -20,24 +20,54 @@ def _expand_decimal_point(m): return m.group(1).replace('.', ' point ') -def _expand_dollars(m): - match = m.group(1) - parts = match.split('.') +def __expand_currency(value: str, inflection: Dict[float, str]) -> str: + parts = value.replace(",", "").split('.') if len(parts) > 2: - return match + ' dollars' # Unexpected format - dollars = int(parts[0]) if parts[0] else 0 - cents = int(parts[1]) if len(parts) > 1 and parts[1] else 0 - if dollars and cents: - dollar_unit = 'dollar' if dollars == 1 else 'dollars' - cent_unit = 'cent' if cents == 1 else 'cents' - return '%s %s, %s %s' % (dollars, dollar_unit, cents, cent_unit) - if dollars: - dollar_unit = 'dollar' if dollars == 1 else 'dollars' - return '%s %s' % (dollars, dollar_unit) - if cents: - cent_unit = 'cent' if cents == 1 else 'cents' - return '%s %s' % (cents, cent_unit) - return 'zero dollars' + return f"{value} {inflection[2]}" # Unexpected format + text = [] + integer = int(parts[0]) if parts[0] else 0 + if integer > 0: + integer_unit = inflection.get(integer, inflection[2]) + text.append(f"{integer} {integer_unit}") + fraction = int(parts[1]) if len(parts) > 1 and parts[1] else 0 + if fraction > 0: + fraction_unit = inflection.get(fraction/100, inflection[0.02]) + text.append(f"{fraction} {fraction_unit}") + if len(text) == 0: + return f"zero {inflection[2]}" + return " ".join(text) + + +def _expand_currency(m: "re.Match") -> str: + currencies = { + "$": { + 0.01: "cent", + 0.02: "cents", + 1: "dollar", + 2: "dollars", + }, + "€": { + 0.01: "cent", + 0.02: "cents", + 1: "euro", + 2: "euros", + }, + "£": { + 0.01: "penny", + 0.02: "pence", + 1: "pound sterling", + 2: "pounds sterling", + }, + "¥": { + # TODO rin + 0.02: "sen", + 2: "yen", + } + } + unit = m.group(1) + currency = currencies[unit] + value = m.group(2) + return __expand_currency(value, currency) def _expand_ordinal(m): @@ -62,8 +92,7 @@ def _expand_number(m): def normalize_numbers(text): text = re.sub(_comma_number_re, _remove_commas, text) - text = re.sub(_pounds_re, r'\1 pounds', text) - text = re.sub(_dollars_re, _expand_dollars, text) + text = re.sub(_currency_re, _expand_currency, text) text = re.sub(_decimal_number_re, _expand_decimal_point, text) text = re.sub(_ordinal_re, _expand_ordinal, text) text = re.sub(_number_re, _expand_number, text) From 664668265068243cfaa8796093acca17147c7fa3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=B6rg=20Thalheim?= Date: Sat, 5 Dec 2020 09:46:34 +0100 Subject: [PATCH 029/108] cleaners: expand english time --- TTS/tts/utils/text/cleaners.py | 2 ++ TTS/tts/utils/text/time.py | 44 ++++++++++++++++++++++++++++++++++ 2 files changed, 46 insertions(+) create mode 100644 TTS/tts/utils/text/time.py diff --git a/TTS/tts/utils/text/cleaners.py b/TTS/tts/utils/text/cleaners.py index 190f52aa..7c3f1017 100644 --- a/TTS/tts/utils/text/cleaners.py +++ b/TTS/tts/utils/text/cleaners.py @@ -14,6 +14,7 @@ import re from unidecode import unidecode from .number_norm import normalize_numbers from .abbreviations import abbreviations_en, abbreviations_fr +from .time import expand_time_english # Regular expression matching whitespace: _whitespace_re = re.compile(r'\s+') @@ -95,6 +96,7 @@ def english_cleaners(text): '''Pipeline for English text, including number and abbreviation expansion.''' text = convert_to_ascii(text) text = lowercase(text) + text = expand_time_english(text) text = expand_numbers(text) text = expand_abbreviations(text) text = replace_symbols(text) diff --git a/TTS/tts/utils/text/time.py b/TTS/tts/utils/text/time.py new file mode 100644 index 00000000..55ecbd8c --- /dev/null +++ b/TTS/tts/utils/text/time.py @@ -0,0 +1,44 @@ +import re +import inflect + +_inflect = inflect.engine() + +_time_re = re.compile(r"""\b + ((0?[0-9])|(1[0-1])|(1[2-9])|(2[0-3])) # hours + : + ([0-5][0-9]) # minutes + \s*(a\\.m\\.|am|pm|p\\.m\\.|a\\.m|p\\.m)? # am/pm + \b""", + re.IGNORECASE | re.X) + + +def _expand_num(n: int) -> str: + return _inflect.number_to_words(n) + + +def _expand_time_english(match: "re.Match") -> str: + hour = int(match.group(1)) + past_noon = hour >= 12 + time = [] + if hour > 12: + hour -= 12 + elif hour == 0: + hour = 12 + past_noon = True + time.append(_expand_num(hour)) + + minute = int(match.group(6)) + if minute > 0: + if minute < 10: + time.append("oh") + time.append(_expand_num(minute)) + am_pm = match.group(7) + if am_pm is None: + time.append("p m" if past_noon else "a m") + else: + time.extend(list(am_pm.replace(".", ""))) + return " ".join(time) + + +def expand_time_english(text: str) -> str: + return re.sub(_time_re, _expand_time_english, text) From 2007b0bcee90f9d4a08d22c8c4759d1cad4ab113 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=B6rg=20Thalheim?= Date: Sat, 5 Dec 2020 09:46:51 +0100 Subject: [PATCH 030/108] add tests for currency/time expansion --- tests/test_text_cleaners.py | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 tests/test_text_cleaners.py diff --git a/tests/test_text_cleaners.py b/tests/test_text_cleaners.py new file mode 100644 index 00000000..081e819a --- /dev/null +++ b/tests/test_text_cleaners.py @@ -0,0 +1,24 @@ +#!/usr/bin/env python3 + +from TTS.tts.utils.text.cleaners import english_cleaners, phoneme_cleaners +from typing import Any + + +def assert_equal(actual: Any, expected: Any) -> None: + assert actual == expected, f"\n{actual} \n vs \n{expected}" + + +def test_time() -> None: + assert_equal(english_cleaners("It's 11:00"), "it's eleven a m") + assert_equal(english_cleaners("It's 9:01"), "it's nine oh one a m") + assert_equal(english_cleaners("It's 16:00"), "it's four p m") + assert_equal(english_cleaners("It's 00:00 am"), "it's twelve a m") + + +def test_currency() -> None: + assert_equal(phoneme_cleaners("It's $10.50"), + "It's ten dollars fifty cents") + assert_equal(phoneme_cleaners("£1.1"), + "one pound sterling one penny") + assert_equal(phoneme_cleaners("¥1"), + "one yen") From ea2c57b0ac1fb67332364bf91cdaee2db0ccbe20 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=B6rg=20Thalheim?= Date: Thu, 10 Dec 2020 16:37:54 +0100 Subject: [PATCH 031/108] test_text_processing: remove assertion message pytest does a better job at diffing anyway in case of an error --- tests/test_text_processing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_text_processing.py b/tests/test_text_processing.py index d6bcbe61..2f68c6e7 100644 --- a/tests/test_text_processing.py +++ b/tests/test_text_processing.py @@ -171,4 +171,4 @@ def test_text2phone(): gt = "ɹ|iː|s|ə|n|t| |ɹ|ɪ|s|ɜː|tʃ| |æ|t| |h|ɑːɹ|v|ɚ|d| |h|ɐ|z| |ʃ|oʊ|n| |m|ɛ|d|ᵻ|t|eɪ|ɾ|ɪ|ŋ| |f|ɔː|ɹ| |æ|z| |l|ɪ|ɾ|əl| |æ|z| |eɪ|t| |w|iː|k|s| |k|æ|n| |æ|k|tʃ|uː|əl|i| |ɪ|n|k|ɹ|iː|s|,| |ð|ə| |ɡ|ɹ|eɪ| |m|æ|ɾ|ɚ|ɹ| |ɪ|n|ð|ə| |p|ɑːɹ|t|s| |ʌ|v|ð|ə| |b|ɹ|eɪ|n| |ɹ|ɪ|s|p|ɑː|n|s|ə|b|əl| |f|ɔː|ɹ| |ɪ|m|oʊ|ʃ|ə|n|əl| |ɹ|ɛ|ɡ|j|uː|l|eɪ|ʃ|ə|n| |æ|n|d| |l|ɜː|n|ɪ|ŋ|!" lang = "en-us" ph = text2phone(text, lang) - assert gt == ph, f"\n{ph} \n vs \n{gt}" + assert gt == ph From cdb81f8c5dcf109c28bb253c0da304d621ad112e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=B6rg=20Thalheim?= Date: Thu, 10 Dec 2020 16:43:07 +0100 Subject: [PATCH 032/108] test_text_cleaners: don't re-invent assertions pytest does treat assert special and does a better job w.r.t error reporting --- tests/test_text_cleaners.py | 22 +++++++--------------- 1 file changed, 7 insertions(+), 15 deletions(-) diff --git a/tests/test_text_cleaners.py b/tests/test_text_cleaners.py index 081e819a..0407b5d7 100644 --- a/tests/test_text_cleaners.py +++ b/tests/test_text_cleaners.py @@ -1,24 +1,16 @@ #!/usr/bin/env python3 from TTS.tts.utils.text.cleaners import english_cleaners, phoneme_cleaners -from typing import Any - - -def assert_equal(actual: Any, expected: Any) -> None: - assert actual == expected, f"\n{actual} \n vs \n{expected}" def test_time() -> None: - assert_equal(english_cleaners("It's 11:00"), "it's eleven a m") - assert_equal(english_cleaners("It's 9:01"), "it's nine oh one a m") - assert_equal(english_cleaners("It's 16:00"), "it's four p m") - assert_equal(english_cleaners("It's 00:00 am"), "it's twelve a m") + assert english_cleaners("It's 11:00") == "it's eleven a m" + assert english_cleaners("It's 9:01") == "it's nine oh one a m" + assert english_cleaners("It's 16:00") == "it's four p m" + assert english_cleaners("It's 00:00 am") == "it's twelve a m" def test_currency() -> None: - assert_equal(phoneme_cleaners("It's $10.50"), - "It's ten dollars fifty cents") - assert_equal(phoneme_cleaners("£1.1"), - "one pound sterling one penny") - assert_equal(phoneme_cleaners("¥1"), - "one yen") + assert phoneme_cleaners("It's $10.50") == "It's ten dollars fifty cents" + assert phoneme_cleaners("£1.1") == "one pound sterling one penny" + assert phoneme_cleaners("¥1") == "one yen" From 62fd4ca70dec5851c44265147b389aa135861a3e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=B6rg=20Thalheim?= Date: Fri, 4 Dec 2020 22:48:08 +0100 Subject: [PATCH 033/108] inflect negative numbers correctly --- TTS/tts/utils/text/number_norm.py | 2 +- tests/test_text_cleaners.py | 5 +++++ 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/TTS/tts/utils/text/number_norm.py b/TTS/tts/utils/text/number_norm.py index a366ae42..2b83c271 100644 --- a/TTS/tts/utils/text/number_norm.py +++ b/TTS/tts/utils/text/number_norm.py @@ -9,7 +9,7 @@ _comma_number_re = re.compile(r'([0-9][0-9\,]+[0-9])') _decimal_number_re = re.compile(r'([0-9]+\.[0-9]+)') _currency_re = re.compile(r'(£|\$|¥)([0-9\,\.]*[0-9]+)') _ordinal_re = re.compile(r'[0-9]+(st|nd|rd|th)') -_number_re = re.compile(r'[0-9]+') +_number_re = re.compile(r'-?[0-9]+') def _remove_commas(m): diff --git a/tests/test_text_cleaners.py b/tests/test_text_cleaners.py index 0407b5d7..7a2abe72 100644 --- a/tests/test_text_cleaners.py +++ b/tests/test_text_cleaners.py @@ -14,3 +14,8 @@ def test_currency() -> None: assert phoneme_cleaners("It's $10.50") == "It's ten dollars fifty cents" assert phoneme_cleaners("£1.1") == "one pound sterling one penny" assert phoneme_cleaners("¥1") == "one yen" + + +def test_expand_numbers() -> None: + assert "minus one" == phoneme_cleaners("-1") + assert "one" == phoneme_cleaners("1") From 639fa292616db7aa740088f5e06094cd35d5ba1a Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 14 Dec 2020 16:58:47 +0100 Subject: [PATCH 034/108] update speaker id casting for glow-tts --- TTS/tts/utils/synthesis.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/TTS/tts/utils/synthesis.py b/TTS/tts/utils/synthesis.py index 76fdb3de..d75ac64b 100644 --- a/TTS/tts/utils/synthesis.py +++ b/TTS/tts/utils/synthesis.py @@ -149,7 +149,8 @@ def inv_spectrogram(postnet_output, ap, CONFIG): def id_to_torch(speaker_id, cuda=False): if speaker_id is not None: speaker_id = np.asarray(speaker_id) - speaker_id = torch.from_numpy(speaker_id).unsqueeze(0) + # TODO: test this for tacotron models + speaker_id = torch.from_numpy(speaker_id) if cuda: return speaker_id.cuda() return speaker_id From df4b7f21664989f93ed5632588fe259cb25083df Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 16 Dec 2020 04:25:57 +0100 Subject: [PATCH 035/108] remove mozilla from readme --- README.md | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/README.md b/README.md index 10654726..9f3a7a5a 100644 --- a/README.md +++ b/README.md @@ -11,9 +11,7 @@
-Mozilla TTS is a deep learning based Text2Speech project, low in cost and high in quality. - -This project is a part of [Mozilla Common Voice](https://voice.mozilla.org/en). +TTS is a deep learning based Text2Speech project, low in cost and high in quality. English Voice Samples: https://erogol.github.io/ddc-samples/ @@ -177,7 +175,6 @@ In case of any error or intercepted execution, if there is no checkpoint yet und You can also enjoy Tensorboard, if you point Tensorboard argument```--logdir``` to the experiment folder. ## Contribution guidelines -This repository is governed by Mozilla's code of conduct and etiquette guidelines. For more details, please read the [Mozilla Community Participation Guidelines.](https://www.mozilla.org/about/governance/policies/participation/) Please send your Pull Request to ```dev``` branch. Before making a Pull Request, check your changes for basic mistakes and style problems by using a linter. We have cardboardlinter setup in this repository, so for example, if you've made some changes and would like to run the linter on just the changed code, you can use the follow command: From 8293751a3829f3c725b4277ae5f8c052fbb0dabd Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 17 Dec 2020 12:28:28 +0100 Subject: [PATCH 036/108] remove mozilla from server page --- TTS/server/templates/index.html | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/TTS/server/templates/index.html b/TTS/server/templates/index.html index 45b874a9..9656fbbe 100644 --- a/TTS/server/templates/index.html +++ b/TTS/server/templates/index.html @@ -8,7 +8,7 @@ - Mozilla - Text2Speech engine + TTS engine
-

Mozilla TTS

From 2df0e022d0313b1989a96614fd6a834f0640f62d Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 17 Dec 2020 14:45:58 +0100 Subject: [PATCH 037/108] Add CODE_OWNERS and GOVERNANCE --- CODE_OWNERS.rst | 75 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 75 insertions(+) create mode 100644 CODE_OWNERS.rst diff --git a/CODE_OWNERS.rst b/CODE_OWNERS.rst new file mode 100644 index 00000000..768b5739 --- /dev/null +++ b/CODE_OWNERS.rst @@ -0,0 +1,75 @@ +TTS code owners / governance system +========================================== + +TTS is run under a governance system inspired (and partially copied from) by the `Mozilla module ownership system `_. The project is roughly divided into modules, and each module has its owners, which are responsible for reviewing pull requests and deciding on technical direction for their modules. Module ownership authority is given to people who have worked extensively on areas of the project. + +Module owners also have the authority of naming other module owners or appointing module peers, which are people with authority to review pull requests in that module. They can also sub-divide their module into sub-modules with their owners. + +Module owners are not tyrants. They are chartered to make decisions with input from the community and in the best interest of the community. Module owners are not required to make code changes or additions solely because the community wants them to do so. (Like anyone else, the module owners may write code because they want to, because their employers want them to, because the community wants them to, or for some other reason.) Module owners do need to pay attention to patches submitted to that module. However “pay attention” does not mean agreeing to every patch. Some patches may not make sense for the WebThings project; some may be poorly implemented. Module owners have the authority to decline a patch; this is a necessary part of the role. We ask the module owners to describe in the relevant issue their reasons for wanting changes to a patch, for declining it altogether, or for postponing review for some period. We don’t ask or expect them to rewrite patches to make them acceptable. Similarly, module owners may need to delay review of a promising patch due to an upcoming deadline. For example, a patch may be of interest, but not for the next milestone. In such a case it may make sense for the module owner to postpone review of a patch until after matters needed for a milestone have been finalized. Again, we expect this to be described in the relevant issue. And of course, it shouldn’t go on very often or for very long or escalation and review is likely. + +The work of the various module owners and peers is overseen by the global owners, which are responsible for making final decisions in case there's conflict between owners as well as set the direction for the project as a whole. + +This file describes module owners who are active on the project and which parts of the code they have expertise on (and interest in). If you're making changes to the code and are wondering who's an appropriate person to talk to, this list will tell you who to ping. + +There's overlap in the areas of expertise of each owner, and in particular when looking at which files are covered by each area, there is a lot of overlap. Don't worry about getting it exactly right when requesting review, any code owner will be happy to redirect the request to a more appropriate person. + +Global owners +---------------- + +These are people who have worked on the project extensively and are familiar with all or most parts of it. Their expertise and review guidance is trusted by other code owners to cover their own areas of expertise. In case of conflicting opinions from other owners, global owners will make a final decision. + +- Eren Gölge (@erogol) +- Reuben Morais (@reuben) + +Training, feeding +----------------- + +- Eren Gölge (@erogol) + +Model exporting +--------------- + +- Eren Gölge (@erogol) + +Multi-Speaker TTS +----------------- + +- Eren Gölge (@erogol) +- Edresson Casanova (@edresson) + +TTS +--- + +- Eren Gölge (@erogol) + +Vocoders +-------- + +- Eren Gölge (@erogol) + +Speaker Encoder +--------------- + +- Eren Gölge (@erogol) + +Testing & CI +------------ + +- Eren Gölge (@erogol) +- Reuben Morais (@reuben) + +Python bindings +--------------- + +- Eren Gölge (@erogol) +- Reuben Morais (@reuben) + +Documentation +------------- + +- Eren Gölge (@erogol) + +Third party bindings +-------------------- + +Owned by the author. From 28a64221eaf6d6435d61d4ca72730bb994e22cc4 Mon Sep 17 00:00:00 2001 From: Thorsten Mueller Date: Sat, 19 Dec 2020 22:23:28 +0100 Subject: [PATCH 038/108] Improve robostness on cpu / gpu model mix --- TTS/bin/synthesize.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/TTS/bin/synthesize.py b/TTS/bin/synthesize.py index b08f9345..40852bdf 100644 --- a/TTS/bin/synthesize.py +++ b/TTS/bin/synthesize.py @@ -37,7 +37,8 @@ def tts(model, vocoder_model, text, CONFIG, use_cuda, ap, use_gl, speaker_fileid if CONFIG.model == "Tacotron" and not use_gl: mel_postnet_spec = ap.out_linear_to_mel(mel_postnet_spec.T).T if not use_gl: - waveform = vocoder_model.inference(torch.FloatTensor(mel_postnet_spec.T).unsqueeze(0)) + device_type = "cuda" if use_cuda else "cpu" + waveform = vocoder_model.inference(torch.FloatTensor(mel_postnet_spec.T).to(device_type).unsqueeze(0)) if use_cuda and not use_gl: waveform = waveform.cpu() if not use_gl: From 2aa0354b44266e48655973cca8cea8f2e17c483c Mon Sep 17 00:00:00 2001 From: Thorsten Mueller Date: Sat, 19 Dec 2020 22:37:03 +0100 Subject: [PATCH 039/108] Fix for 'NoneType' object has no attribute 'to' --- TTS/bin/synthesize.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/TTS/bin/synthesize.py b/TTS/bin/synthesize.py index 40852bdf..bd8a73f2 100644 --- a/TTS/bin/synthesize.py +++ b/TTS/bin/synthesize.py @@ -37,6 +37,9 @@ def tts(model, vocoder_model, text, CONFIG, use_cuda, ap, use_gl, speaker_fileid if CONFIG.model == "Tacotron" and not use_gl: mel_postnet_spec = ap.out_linear_to_mel(mel_postnet_spec.T).T if not use_gl: + beta = np.linspace(1e-6, 0.01, 50) + vocoder_model.compute_noise_level(beta) + device_type = "cuda" if use_cuda else "cpu" waveform = vocoder_model.inference(torch.FloatTensor(mel_postnet_spec.T).to(device_type).unsqueeze(0)) if use_cuda and not use_gl: From f673f8f74dd343889b6b81658e09fb61e33700ea Mon Sep 17 00:00:00 2001 From: Thorsten Mueller Date: Sat, 19 Dec 2020 22:51:22 +0100 Subject: [PATCH 040/108] Added support for npy output from tune-wavegrad --- TTS/bin/synthesize.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/TTS/bin/synthesize.py b/TTS/bin/synthesize.py index bd8a73f2..12ff4d30 100644 --- a/TTS/bin/synthesize.py +++ b/TTS/bin/synthesize.py @@ -37,8 +37,13 @@ def tts(model, vocoder_model, text, CONFIG, use_cuda, ap, use_gl, speaker_fileid if CONFIG.model == "Tacotron" and not use_gl: mel_postnet_spec = ap.out_linear_to_mel(mel_postnet_spec.T).T if not use_gl: + # Use if not computed noise schedule with tune_wavegrad beta = np.linspace(1e-6, 0.01, 50) vocoder_model.compute_noise_level(beta) + + # Use alternative when using output npy file from tune_wavegrad + # beta = np.load("output-tune-wavegrad.npy", allow_pickle=True).item() + # vocoder_model.compute_noise_level(beta['beta']) device_type = "cuda" if use_cuda else "cpu" waveform = vocoder_model.inference(torch.FloatTensor(mel_postnet_spec.T).to(device_type).unsqueeze(0)) From 070146e143f63e057d686056dc3545a9db88614f Mon Sep 17 00:00:00 2001 From: erogol Date: Sat, 12 Dec 2020 20:15:31 +0100 Subject: [PATCH 041/108] add monotonic dynamic convolution attention --- TTS/tts/configs/config.json | 2 +- TTS/tts/layers/common_layers.py | 99 ++++++++++++++++++++++++++++- TTS/tts/utils/generic_utils.py | 2 +- tests/inputs/test_train_config.json | 2 +- 4 files changed, 101 insertions(+), 4 deletions(-) diff --git a/TTS/tts/configs/config.json b/TTS/tts/configs/config.json index 766aca40..54fcada7 100644 --- a/TTS/tts/configs/config.json +++ b/TTS/tts/configs/config.json @@ -99,7 +99,7 @@ "prenet_dropout": false, // enable/disable dropout at prenet. // TACOTRON ATTENTION - "attention_type": "original", // 'original' or 'graves' + "attention_type": "original", // 'original' , 'graves', 'dynamic_convolution' "attention_heads": 4, // number of attention heads (only for 'graves') "attention_norm": "sigmoid", // softmax or sigmoid. "windowing": false, // Enables attention windowing. Used only in eval mode. diff --git a/TTS/tts/layers/common_layers.py b/TTS/tts/layers/common_layers.py index d197bb86..c242a89a 100644 --- a/TTS/tts/layers/common_layers.py +++ b/TTS/tts/layers/common_layers.py @@ -1,6 +1,7 @@ import torch from torch import nn from torch.nn import functional as F +from scipy.stats import betabinom class Linear(nn.Module): @@ -371,6 +372,90 @@ class OriginalAttention(nn.Module): self.u = torch.sigmoid(self.ta(ta_input)) return context +class MonotonicDynamicConvolutionAttention(nn.Module): + """Dynamic convolution attention from + https://arxiv.org/pdf/1910.10288.pdf + """ + def __init__( + self, + query_dim, + embedding_dim, + attention_dim, + static_filter_dim, + static_kernel_size, + dynamic_filter_dim, + dynamic_kernel_size, + prior_filter_len=11, + alpha=0.1, + beta=0.9, + ): + super().__init__() + self._mask_value = 1e-8 + self.dynamic_filter_dim = dynamic_filter_dim + self.dynamic_kernel_size = dynamic_kernel_size + self.prior_filter_len = prior_filter_len + self.attention_weights = None + # setup key and query layers + self.query_layer = nn.Linear(query_dim, attention_dim) + self.key_layer = nn.Linear( + attention_dim, dynamic_filter_dim * dynamic_kernel_size, bias=False + ) + self.static_filter_conv = nn.Conv1d( + 1, + static_filter_dim, + static_kernel_size, + padding=(static_kernel_size - 1) // 2, + bias=False, + ) + self.static_filter_layer = nn.Linear(static_filter_dim, attention_dim, bias=False) + self.dynamic_filter_layer = nn.Linear(dynamic_filter_dim, attention_dim) + self.v = nn.Linear(attention_dim, 1, bias=False) + + prior = betabinom.pmf(range(prior_filter_len), prior_filter_len - 1, + alpha, beta) + self.register_buffer("prior", torch.FloatTensor(prior).flip(0)) + + # pylint: disable=unused-argument + def forward(self, query, inputs, processed_inputs, mask): + # compute prior filters + prior_filter = F.conv1d( + F.pad(self.attention_weights.unsqueeze(1), + (self.prior_filter_len - 1, 0)), self.prior.view(1, 1, -1)) + prior_filter = torch.log(prior_filter.clamp_min_(1e-6)).squeeze(1) + G = self.key_layer(torch.tanh(self.query_layer(query))) + # compute dynamic filters + dynamic_filter = F.conv1d( + self.attention_weights.unsqueeze(0), + G.view(-1, 1, self.dynamic_kernel_size), + padding=(self.dynamic_kernel_size - 1) // 2, + groups=query.size(0), + ) + dynamic_filter = dynamic_filter.view(query.size(0), self.dynamic_filter_dim, -1).transpose(1, 2) + # compute static filters + static_filter = self.static_filter_conv(self.attention_weights.unsqueeze(1)).transpose(1, 2) + alignment = self.v( + torch.tanh( + self.static_filter_layer(static_filter) + + self.dynamic_filter_layer(dynamic_filter))).squeeze(-1) + prior_filter + # compute attention weights + attention_weights = F.softmax(alignment, dim=-1) + # apply masking + if mask is not None: + attention_weights.data.masked_fill_(~mask, self._mask_value) + self.attention_weights = attention_weights + # compute context + context = torch.bmm(attention_weights.unsqueeze(1), inputs).squeeze(1) + return context + + def preprocess_inputs(self, inputs): + return None + + def init_states(self, inputs): + B = inputs.size(0) + T = inputs.size(1) + self.attention_weights = torch.zeros([B, T], device=inputs.device) + self.attention_weights[:, 0] = 1. + def init_attn(attn_type, query_dim, embedding_dim, attention_dim, location_attention, attention_location_n_filters, @@ -385,5 +470,17 @@ def init_attn(attn_type, query_dim, embedding_dim, attention_dim, forward_attn_mask) if attn_type == "graves": return GravesAttention(query_dim, attn_K) + if attn_type == "dynamic_convolution": + return MonotonicDynamicConvolutionAttention(query_dim, + embedding_dim, + attention_dim, + static_filter_dim=8, + static_kernel_size=21, + dynamic_filter_dim=8, + dynamic_kernel_size=21, + prior_filter_len=11, + alpha=0.1, + beta=0.9) + raise RuntimeError( - " [!] Given Attention Type '{attn_type}' is not exist.") + " [!] Given Attention Type '{attn_type}' is not exist.") \ No newline at end of file diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 928c9dfc..94cd5668 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -211,7 +211,7 @@ def check_config_tts(c): check_argument('prenet_dropout', c, restricted=is_tacotron(c), val_type=bool) # attention - check_argument('attention_type', c, restricted=is_tacotron(c), val_type=str, enum_list=['graves', 'original']) + check_argument('attention_type', c, restricted=is_tacotron(c), val_type=str, enum_list=['graves', 'original', 'dynamic_convolution']) check_argument('attention_heads', c, restricted=is_tacotron(c), val_type=int) check_argument('attention_norm', c, restricted=is_tacotron(c), val_type=str, enum_list=['sigmoid', 'softmax']) check_argument('windowing', c, restricted=is_tacotron(c), val_type=bool) diff --git a/tests/inputs/test_train_config.json b/tests/inputs/test_train_config.json index 6be85314..ee0680e3 100644 --- a/tests/inputs/test_train_config.json +++ b/tests/inputs/test_train_config.json @@ -100,7 +100,7 @@ "prenet_dropout": false, // enable/disable dropout at prenet. // TACOTRON ATTENTION - "attention_type": "original", // 'original' or 'graves' + "attention_type": "original", // 'original' , 'graves', 'dynamic_convolution' "attention_heads": 4, // number of attention heads (only for 'graves') "attention_norm": "sigmoid", // softmax or sigmoid. "windowing": false, // Enables attention windowing. Used only in eval mode. From fa206380839c488bcad0c4552ac6a9f0c58a2fe8 Mon Sep 17 00:00:00 2001 From: erogol Date: Sat, 12 Dec 2020 20:15:56 +0100 Subject: [PATCH 042/108] config for ljspeech dynamic conv attention --- .../ljspeech_tacotron2_dynamic_conv_attn.json | 171 ++++++++++++++++++ 1 file changed, 171 insertions(+) create mode 100644 TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json diff --git a/TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json b/TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json new file mode 100644 index 00000000..40f1ac86 --- /dev/null +++ b/TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json @@ -0,0 +1,171 @@ +{ + "model": "Tacotron2", + "run_name": "ljspeech-dcattn", + "run_description": "tacotron2 with dynamic convolution attention.", + + // AUDIO PARAMETERS + "audio":{ + // stft parameters + "fft_size": 1024, // number of stft frequency levels. Size of the linear spectogram frame. + "win_length": 1024, // stft window length in ms. + "hop_length": 256, // stft window hop-lengh in ms. + "frame_length_ms": null, // stft window length in ms.If null, 'win_length' is used. + "frame_shift_ms": null, // stft window hop-lengh in ms. If null, 'hop_length' is used. + + // Audio processing parameters + "sample_rate": 22050, // DATASET-RELATED: wav sample-rate. + "preemphasis": 0.0, // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis. + "ref_level_db": 20, // reference level db, theoretically 20db is the sound of air. + + // Silence trimming + "do_trim_silence": true,// enable trimming of slience of audio as you load it. LJspeech (true), TWEB (false), Nancy (true) + "trim_db": 60, // threshold for timming silence. Set this according to your dataset. + + // Griffin-Lim + "power": 1.5, // value to sharpen wav signals after GL algorithm. + "griffin_lim_iters": 60,// #griffin-lim iterations. 30-60 is a good range. Larger the value, slower the generation. + + // MelSpectrogram parameters + "num_mels": 80, // size of the mel spec frame. + "mel_fmin": 50.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!! + "mel_fmax": 7600.0, // maximum freq level for mel-spec. Tune for dataset!! + "spec_gain": 1, + + // Normalization parameters + "signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params. + "min_level_db": -100, // lower bound for normalization + "symmetric_norm": true, // move normalization to range [-1, 1] + "max_norm": 4.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm] + "clip_norm": true, // clip normalized values into the range. + "stats_path": "/home/erogol/Data/LJSpeech-1.1/scale_stats.npy" // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored + }, + + // VOCABULARY PARAMETERS + // if custom character set is not defined, + // default set in symbols.py is used + // "characters":{ + // "pad": "_", + // "eos": "~", + // "bos": "^", + // "characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz!'(),-.:;? ", + // "punctuations":"!'(),-.:;? ", + // "phonemes":"iyɨʉɯuɪʏʊeøɘəɵɤoɛœɜɞʌɔæɐaɶɑɒᵻʘɓǀɗǃʄǂɠǁʛpbtdʈɖcɟkɡqɢʔɴŋɲɳnɱmʙrʀⱱɾɽɸβfvθðszʃʒʂʐçʝxɣχʁħʕhɦɬɮʋɹɻjɰlɭʎʟˈˌːˑʍwɥʜʢʡɕʑɺɧɚ˞ɫ" + // }, + + // DISTRIBUTED TRAINING + "distributed":{ + "backend": "nccl", + "url": "tcp:\/\/localhost:54321" + }, + + "reinit_layers": [], // give a list of layer names to restore from the given checkpoint. If not defined, it reloads all heuristically matching layers. + + // TRAINING + "batch_size": 2, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'. + "eval_batch_size":16, + "r": 7, // Number of decoder frames to predict per iteration. Set the initial values if gradual training is enabled. + "gradual_training": [[0, 7, 64], [1, 5, 64], [50000, 3, 32], [130000, 2, 32], [290000, 1, 32]], //set gradual training steps [first_step, r, batch_size]. If it is null, gradual training is disabled. For Tacotron, you might need to reduce the 'batch_size' as you proceeed. + "mixed_precision": true, // level of optimization with NVIDIA's apex feature for automatic mixed FP16/FP32 precision (AMP), NOTE: currently only O1 is supported, and use "O1" to activate. + + // LOSS SETTINGS + "loss_masking": true, // enable / disable loss masking against the sequence padding. + "decoder_loss_alpha": 0.5, // original decoder loss weight. If > 0, it is enabled + "postnet_loss_alpha": 0.25, // original postnet loss weight. If > 0, it is enabled + "postnet_diff_spec_alpha": 0.25, // differential spectral loss weight. If > 0, it is enabled + "decoder_diff_spec_alpha": 0.25, // differential spectral loss weight. If > 0, it is enabled + "decoder_ssim_alpha": 0.5, // decoder ssim loss weight. If > 0, it is enabled + "postnet_ssim_alpha": 0.25, // postnet ssim loss weight. If > 0, it is enabled + "ga_alpha": 5.0, // weight for guided attention loss. If > 0, guided attention is enabled. + "stopnet_pos_weight": 15.0, // pos class weight for stopnet loss since there are way more negative samples than positive samples. + + + // VALIDATION + "run_eval": true, + "test_delay_epochs": 10, //Until attention is aligned, testing only wastes computation time. + "test_sentences_file": null, // set a file to load sentences to be used for testing. If it is null then we use default english sentences. + + // OPTIMIZER + "noam_schedule": false, // use noam warmup and lr schedule. + "grad_clip": 1.0, // upper limit for gradients for clipping. + "epochs": 1000, // total number of epochs to train. + "lr": 0.0001, // Initial learning rate. If Noam decay is active, maximum learning rate. + "wd": 0.000001, // Weight decay weight. + "warmup_steps": 4000, // Noam decay steps to increase the learning rate from 0 to "lr" + "seq_len_norm": false, // Normalize eash sample loss with its length to alleviate imbalanced datasets. Use it if your dataset is small or has skewed distribution of sequence lengths. + + // TACOTRON PRENET + "memory_size": -1, // ONLY TACOTRON - size of the memory queue used fro storing last decoder predictions for auto-regression. If < 0, memory queue is disabled and decoder only uses the last prediction frame. + "prenet_type": "original", // "original" or "bn". + "prenet_dropout": false, // enable/disable dropout at prenet. + + // TACOTRON ATTENTION + "attention_type": "dynamic_convolution", // 'original' , 'graves', 'dynamic_convolution' + "attention_heads": 4, // number of attention heads (only for 'graves') + "attention_norm": "softmax", // softmax or sigmoid. + "windowing": false, // Enables attention windowing. Used only in eval mode. + "use_forward_attn": false, // if it uses forward attention. In general, it aligns faster. + "forward_attn_mask": false, // Additional masking forcing monotonicity only in eval mode. + "transition_agent": false, // enable/disable transition agent of forward attention. + "location_attn": true, // enable_disable location sensitive attention. It is enabled for TACOTRON by default. + "bidirectional_decoder": false, // use https://arxiv.org/abs/1907.09006. Use it, if attention does not work well with your dataset. + "double_decoder_consistency": true, // use DDC explained here https://erogol.com/solving-attention-problems-of-tts-models-with-double-decoder-consistency-draft/ + "ddc_r": 7, // reduction rate for coarse decoder. + + // STOPNET + "stopnet": true, // Train stopnet predicting the end of synthesis. + "separate_stopnet": true, // Train stopnet seperately if 'stopnet==true'. It prevents stopnet loss to influence the rest of the model. It causes a better model, but it trains SLOWER. + + // TENSORBOARD and LOGGING + "print_step": 25, // Number of steps to log training on console. + "tb_plot_step": 100, // Number of steps to plot TB training figures. + "print_eval": false, // If True, it prints intermediate loss values in evalulation. + "save_step": 10000, // Number of training steps expected to save traninpg stats and checkpoints. + "checkpoint": true, // If true, it saves checkpoints per "save_step" + "tb_model_param_stats": false, // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging. + + // DATA LOADING + "text_cleaner": "phoneme_cleaners", + "enable_eos_bos_chars": false, // enable/disable beginning of sentence and end of sentence chars. + "num_loader_workers": 4, // number of training data loader processes. Don't set it too big. 4-8 are good values. + "num_val_loader_workers": 4, // number of evaluation data loader processes. + "batch_group_size": 4, //Number of batches to shuffle after bucketing. + "min_seq_len": 6, // DATASET-RELATED: minimum text length to use in training + "max_seq_len": 153, // DATASET-RELATED: maximum text length + "compute_input_seq_cache": false, // if true, text sequences are computed before starting training. If phonemes are enabled, they are also computed at this stage. + + // PATHS + "output_path": "/home/erogol/Models/LJSpeech/", + + // PHONEMES + "phoneme_cache_path": "/home/erogol/Models/phoneme_cache/", // phoneme computation is slow, therefore, it caches results in the given folder. + "use_phonemes": true, // use phonemes instead of raw characters. It is suggested for better pronounciation. + "phoneme_language": "en-us", // depending on your target language, pick one from https://github.com/bootphon/phonemizer#languages + + // MULTI-SPEAKER and GST + "use_speaker_embedding": false, // use speaker embedding to enable multi-speaker learning. + "use_gst": false, // use global style tokens + "use_external_speaker_embedding_file": false, // if true, forces the model to use external embedding per sample instead of nn.embeddings, that is, it supports external embeddings such as those used at: https://arxiv.org/abs /1806.04558 + "external_speaker_embedding_file": "../../speakers-vctk-en.json", // if not null and use_external_speaker_embedding_file is true, it is used to load a specific embedding file and thus uses these embeddings instead of nn.embeddings, that is, it supports external embeddings such as those used at: https://arxiv.org/abs /1806.04558 + "gst": { // gst parameter if gst is enabled + "gst_style_input": null, // Condition the style input either on a + // -> wave file [path to wave] or + // -> dictionary using the style tokens {'token1': 'value', 'token2': 'value'} example {"0": 0.15, "1": 0.15, "5": -0.15} + // with the dictionary being len(dict) <= len(gst_style_tokens). + "gst_embedding_dim": 512, + "gst_num_heads": 4, + "gst_style_tokens": 10, + "gst_use_speaker_embedding": false + }, + + // DATASETS + "datasets": // List of datasets. They all merged and they get different speaker_ids. + [ + { + "name": "ljspeech", + "path": "/home/erogol/Data/LJSpeech-1.1/", + "meta_file_train": "metadata.csv", // for vtck if list, ignore speakers id in list for train, its useful for test cloning with new speakers + "meta_file_val": null + } + ] +} + From 1dd086577a8f73157c85184f0d80747ea774fbe3 Mon Sep 17 00:00:00 2001 From: erogol Date: Sat, 12 Dec 2020 23:58:38 +0100 Subject: [PATCH 043/108] tacotron training bug fix --- TTS/bin/train_tacotron.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/TTS/bin/train_tacotron.py b/TTS/bin/train_tacotron.py index 03032bfc..da54831a 100644 --- a/TTS/bin/train_tacotron.py +++ b/TTS/bin/train_tacotron.py @@ -603,6 +603,8 @@ def main(args): # pylint: disable=redefined-outer-name model.decoder.set_r(r) if c.bidirectional_decoder: model.decoder_backward.set_r(r) + train_loader.dataset.outputs_per_step = r + eval_loader.dataset.outputs_per_step = r print("\n > Number of output frames:", model.decoder.r) train_avg_loss_dict, global_step = train(train_loader, model, criterion, optimizer, From 6478d552dcf0ee4a75f7acd9745fc138ff1bb2ef Mon Sep 17 00:00:00 2001 From: erogol Date: Sat, 12 Dec 2020 23:58:38 +0100 Subject: [PATCH 044/108] tacotron training bug fix --- TTS/bin/train_tacotron.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/TTS/bin/train_tacotron.py b/TTS/bin/train_tacotron.py index da54831a..f75b44af 100644 --- a/TTS/bin/train_tacotron.py +++ b/TTS/bin/train_tacotron.py @@ -604,7 +604,9 @@ def main(args): # pylint: disable=redefined-outer-name if c.bidirectional_decoder: model.decoder_backward.set_r(r) train_loader.dataset.outputs_per_step = r + train_loader.batch_size = c.batch_size eval_loader.dataset.outputs_per_step = r + eval_loader.batch_size = c.batch_size print("\n > Number of output frames:", model.decoder.r) train_avg_loss_dict, global_step = train(train_loader, model, criterion, optimizer, From 5c50e104d68923128166ef3a4e571eef227804bc Mon Sep 17 00:00:00 2001 From: erogol Date: Sun, 13 Dec 2020 02:22:38 +0100 Subject: [PATCH 045/108] config update --- TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json b/TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json index 40f1ac86..212e49b3 100644 --- a/TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json +++ b/TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json @@ -61,7 +61,7 @@ "reinit_layers": [], // give a list of layer names to restore from the given checkpoint. If not defined, it reloads all heuristically matching layers. // TRAINING - "batch_size": 2, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'. + "batch_size": 32, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'. "eval_batch_size":16, "r": 7, // Number of decoder frames to predict per iteration. Set the initial values if gradual training is enabled. "gradual_training": [[0, 7, 64], [1, 5, 64], [50000, 3, 32], [130000, 2, 32], [290000, 1, 32]], //set gradual training steps [first_step, r, batch_size]. If it is null, gradual training is disabled. For Tacotron, you might need to reduce the 'batch_size' as you proceeed. @@ -108,7 +108,7 @@ "transition_agent": false, // enable/disable transition agent of forward attention. "location_attn": true, // enable_disable location sensitive attention. It is enabled for TACOTRON by default. "bidirectional_decoder": false, // use https://arxiv.org/abs/1907.09006. Use it, if attention does not work well with your dataset. - "double_decoder_consistency": true, // use DDC explained here https://erogol.com/solving-attention-problems-of-tts-models-with-double-decoder-consistency-draft/ + "double_decoder_consistency": false, // use DDC explained here https://erogol.com/solving-attention-problems-of-tts-models-with-double-decoder-consistency-draft/ "ddc_r": 7, // reduction rate for coarse decoder. // STOPNET From 29b17c080899075ad3851c7f0a906d5b4ca272ec Mon Sep 17 00:00:00 2001 From: erogol Date: Sun, 13 Dec 2020 02:36:23 +0100 Subject: [PATCH 046/108] bug fix for gradual training --- TTS/bin/train_tacotron.py | 59 ++++++++++++++++++++++----------------- 1 file changed, 34 insertions(+), 25 deletions(-) diff --git a/TTS/bin/train_tacotron.py b/TTS/bin/train_tacotron.py index f75b44af..8288023c 100644 --- a/TTS/bin/train_tacotron.py +++ b/TTS/bin/train_tacotron.py @@ -39,33 +39,34 @@ from TTS.utils.training import (NoamLR, adam_weight_decay, check_update, use_cuda, num_gpus = setup_torch_training_env(True, False) -def setup_loader(ap, r, is_val=False, verbose=False): +def setup_loader(ap, r, is_val=False, verbose=False, dataset=None): if is_val and not c.run_eval: loader = None else: - dataset = MyDataset( - r, - c.text_cleaner, - compute_linear_spec=c.model.lower() == 'tacotron', - meta_data=meta_data_eval if is_val else meta_data_train, - ap=ap, - tp=c.characters if 'characters' in c.keys() else None, - add_blank=c['add_blank'] if 'add_blank' in c.keys() else False, - batch_group_size=0 if is_val else c.batch_group_size * - c.batch_size, - min_seq_len=c.min_seq_len, - max_seq_len=c.max_seq_len, - phoneme_cache_path=c.phoneme_cache_path, - use_phonemes=c.use_phonemes, - phoneme_language=c.phoneme_language, - enable_eos_bos=c.enable_eos_bos_chars, - verbose=verbose, - speaker_mapping=speaker_mapping if c.use_speaker_embedding and c.use_external_speaker_embedding_file else None) + if dataset is None: + dataset = MyDataset( + r, + c.text_cleaner, + compute_linear_spec=c.model.lower() == 'tacotron', + meta_data=meta_data_eval if is_val else meta_data_train, + ap=ap, + tp=c.characters if 'characters' in c.keys() else None, + add_blank=c['add_blank'] if 'add_blank' in c.keys() else False, + batch_group_size=0 if is_val else c.batch_group_size * + c.batch_size, + min_seq_len=c.min_seq_len, + max_seq_len=c.max_seq_len, + phoneme_cache_path=c.phoneme_cache_path, + use_phonemes=c.use_phonemes, + phoneme_language=c.phoneme_language, + enable_eos_bos=c.enable_eos_bos_chars, + verbose=verbose, + speaker_mapping=speaker_mapping if c.use_speaker_embedding and c.use_external_speaker_embedding_file else None) - if c.use_phonemes and c.compute_input_seq_cache: - # precompute phonemes to have a better estimate of sequence lengths. - dataset.compute_input_seq(c.num_loader_workers) - dataset.sort_items() + if c.use_phonemes and c.compute_input_seq_cache: + # precompute phonemes to have a better estimate of sequence lengths. + dataset.compute_input_seq(c.num_loader_workers) + dataset.sort_items() sampler = DistributedSampler(dataset) if num_gpus > 1 else None loader = DataLoader( @@ -604,15 +605,23 @@ def main(args): # pylint: disable=redefined-outer-name if c.bidirectional_decoder: model.decoder_backward.set_r(r) train_loader.dataset.outputs_per_step = r - train_loader.batch_size = c.batch_size eval_loader.dataset.outputs_per_step = r - eval_loader.batch_size = c.batch_size + train_loader = setup_loader(ap, + model.decoder.r, + is_val=False, + dataset=train_loader.dataset) + eval_loader = setup_loader(ap, + model.decoder.r, + is_val=True, + dataset=eval_loader.dataset) print("\n > Number of output frames:", model.decoder.r) + # train one epoch train_avg_loss_dict, global_step = train(train_loader, model, criterion, optimizer, optimizer_st, scheduler, ap, global_step, epoch, scaler, scaler_st) + # eval one epoch eval_avg_loss_dict = evaluate(eval_loader, model, criterion, ap, global_step, epoch) c_logger.print_epoch_end(epoch, eval_avg_loss_dict) From f81af4eb0d7dd0a64d367e287a7d496e8674bf85 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 14 Dec 2020 16:57:26 +0100 Subject: [PATCH 047/108] config update disable guided attention for dynamic conv attention --- TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json b/TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json index 212e49b3..cd5ad8ab 100644 --- a/TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json +++ b/TTS/tts/configs/ljspeech_tacotron2_dynamic_conv_attn.json @@ -75,7 +75,7 @@ "decoder_diff_spec_alpha": 0.25, // differential spectral loss weight. If > 0, it is enabled "decoder_ssim_alpha": 0.5, // decoder ssim loss weight. If > 0, it is enabled "postnet_ssim_alpha": 0.25, // postnet ssim loss weight. If > 0, it is enabled - "ga_alpha": 5.0, // weight for guided attention loss. If > 0, guided attention is enabled. + "ga_alpha": 0.0, // weight for guided attention loss. If > 0, guided attention is enabled. "stopnet_pos_weight": 15.0, // pos class weight for stopnet loss since there are way more negative samples than positive samples. From 973754d8935d2ca1def66e36e059ee6fa1997b98 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 21 Dec 2020 10:23:23 +0100 Subject: [PATCH 048/108] fix for init glow-tts --- TTS/tts/utils/generic_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 94cd5668..1fed8a4e 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -106,7 +106,7 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): hidden_channels=192, filter_channels=768, filter_channels_dp=256, - out_channels=80, + out_channels=c.audio['num_mels'], kernel_size=3, num_heads=2, num_layers_enc=6, From 7b20d8cbd3f7e42b3514977f81b55cff76a399aa Mon Sep 17 00:00:00 2001 From: erogol Date: Sat, 12 Dec 2020 18:04:32 +0100 Subject: [PATCH 049/108] implement residual BN convolution and add it as an alternative encoder for glow-tts. also generic layers to layers/generic --- TTS/tts/configs/glow_tts_tdsep.json | 15 +++-- TTS/tts/layers/generic/__init__.py | 0 .../{glow_tts => generic}/gated_conv.py | 0 .../{glow_tts => generic}/normalization.py | 0 TTS/tts/layers/generic/res_conv_bn.py | 66 +++++++++++++++++++ .../time_depth_sep_conv.py | 0 TTS/tts/layers/glow_tts/decoder.py | 2 +- TTS/tts/layers/glow_tts/duration_predictor.py | 2 +- TTS/tts/layers/glow_tts/encoder.py | 23 +++++-- TTS/tts/layers/glow_tts/glow.py | 2 +- TTS/tts/models/glow_tts.py | 2 +- 11 files changed, 98 insertions(+), 14 deletions(-) create mode 100644 TTS/tts/layers/generic/__init__.py rename TTS/tts/layers/{glow_tts => generic}/gated_conv.py (100%) rename TTS/tts/layers/{glow_tts => generic}/normalization.py (100%) create mode 100644 TTS/tts/layers/generic/res_conv_bn.py rename TTS/tts/layers/{glow_tts => generic}/time_depth_sep_conv.py (100%) diff --git a/TTS/tts/configs/glow_tts_tdsep.json b/TTS/tts/configs/glow_tts_tdsep.json index 25d41291..72eb3da7 100644 --- a/TTS/tts/configs/glow_tts_tdsep.json +++ b/TTS/tts/configs/glow_tts_tdsep.json @@ -1,7 +1,7 @@ { "model": "glow_tts", - "run_name": "glow-tts-tdsep-conv", - "run_description": "glow-tts model training with time-depth separable conv encoder.", + "run_name": "glow-tts-residual_bn_conv", + "run_description": "glow-tts model training with residual BN conv.", // AUDIO PARAMETERS "audio":{ @@ -28,7 +28,7 @@ "num_mels": 80, // size of the mel spec frame. "mel_fmin": 50.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!! "mel_fmax": 7600.0, // maximum freq level for mel-spec. Tune for dataset!! - "spec_gain": 1.0, // scaler value appplied after log transform of spectrogram. + "spec_gain": 1.0, // scaler value appplied after log transform of spectrogram.00 // Normalization parameters "signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params. @@ -62,13 +62,15 @@ "reinit_layers": [], // give a list of layer names to restore from the given checkpoint. If not defined, it reloads all heuristically matching layers. // MODEL PARAMETERS - "use_mas": false, // use Monotonic Alignment Search if true. Otherwise use pre-computed attention alignments. + // "use_mas": false, // use Monotonic Alignment Search if true. Otherwise use pre-computed attention alignments. // TRAINING "batch_size": 32, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'. "eval_batch_size":16, "r": 1, // Number of decoder frames to predict per iteration. Set the initial values if gradual training is enabled. "loss_masking": true, // enable / disable loss masking against the sequence padding. + "mixed_precision": true, + "data_dep_init_iter": 10, // VALIDATION "run_eval": true, @@ -84,7 +86,7 @@ "warmup_steps": 4000, // Noam decay steps to increase the learning rate from 0 to "lr" "seq_len_norm": false, // Normalize eash sample loss with its length to alleviate imbalanced datasets. Use it if your dataset is small or has skewed distribution of sequence lengths. - "encoder_type": "time-depth-separable", + "encoder_type": "residual_conv_bn", // TENSORBOARD and LOGGING "print_step": 25, // Number of steps to log training on console. @@ -93,7 +95,6 @@ "save_step": 5000, // Number of training steps expected to save traninpg stats and checkpoints. "checkpoint": true, // If true, it saves checkpoints per "save_step" "tb_model_param_stats": false, // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging. - "apex_amp_level": null, // DATA LOADING "text_cleaner": "phoneme_cleaners", @@ -104,6 +105,7 @@ "min_seq_len": 3, // DATASET-RELATED: minimum text length to use in training "max_seq_len": 500, // DATASET-RELATED: maximum text length "compute_f0": false, // compute f0 values in data-loader + "compute_input_seq_cache": true, // PATHS "output_path": "/home/erogol/Models/LJSpeech/", @@ -115,6 +117,7 @@ // MULTI-SPEAKER and GST "use_speaker_embedding": false, // use speaker embedding to enable multi-speaker learning. + "use_external_speaker_embedding_file": false, "style_wav_for_test": null, // path to style wav file to be used in TacotronGST inference. "use_gst": false, // TACOTRON ONLY: use global style tokens diff --git a/TTS/tts/layers/generic/__init__.py b/TTS/tts/layers/generic/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/TTS/tts/layers/glow_tts/gated_conv.py b/TTS/tts/layers/generic/gated_conv.py similarity index 100% rename from TTS/tts/layers/glow_tts/gated_conv.py rename to TTS/tts/layers/generic/gated_conv.py diff --git a/TTS/tts/layers/glow_tts/normalization.py b/TTS/tts/layers/generic/normalization.py similarity index 100% rename from TTS/tts/layers/glow_tts/normalization.py rename to TTS/tts/layers/generic/normalization.py diff --git a/TTS/tts/layers/generic/res_conv_bn.py b/TTS/tts/layers/generic/res_conv_bn.py new file mode 100644 index 00000000..f67a8613 --- /dev/null +++ b/TTS/tts/layers/generic/res_conv_bn.py @@ -0,0 +1,66 @@ +import torch +from torch import nn +from .normalization import TemporalBatchNorm1d + + +class ZeroTemporalPad(nn.ZeroPad2d): + """Pad sequences to equal lentgh in the temporal dimension""" + def __init__(self, kernel_size, dilation): + total_pad = (dilation * (kernel_size - 1)) + begin = total_pad // 2 + end = total_pad - begin + super(ZeroTemporalPad, self).__init__((0, 0, begin, end)) + + +class ConvBN(nn.Module): + def __init__(self, channels, kernel_size, dilation): + super().__init__() + padding = (dilation * (kernel_size - 1)) + pad_s = padding // 2 + pad_e = padding - pad_s + self.conv1d = nn.Conv1d(channels, channels, kernel_size, dilation=dilation) + self.pad = nn.ZeroPad2d((pad_s, pad_e, 0, 0)) # uneven left and right padding + self.norm = nn.BatchNorm1d(channels) + + def forward(self, x): + o = self.conv1d(x) + o = self.pad(o) + o = self.norm(o) + o = nn.functional.relu(o) + return o + + +class ConvBNBlock(nn.Module): + """Implements conv->PReLU->norm n-times""" + + def __init__(self, channels, kernel_size, dilation, num_conv_blocks=2): + super().__init__() + self.conv_bn_blocks = nn.Sequential(*[ + ConvBN(channels, kernel_size, dilation) + for _ in range(num_conv_blocks) + ]) + + def forward(self, x): + """ + Shapes: + x: (B, D, T) + """ + return self.conv_bn_blocks(x) + + +class ResidualConvBNBlock(nn.Module): + def __init__(self, channels, kernel_size, dilations, num_res_blocks=13, num_conv_blocks=2): + super().__init__() + assert len(dilations) == num_res_blocks + self.res_blocks = nn.ModuleList() + for dilation in dilations: + block = ConvBNBlock(channels, kernel_size, dilation, num_conv_blocks) + self.res_blocks.append(block) + + def forward(self, x, x_mask=None): + o = x + for block in self.res_blocks: + res = o + o = block(o * x_mask if x_mask is not None else o) + o = o + res + return o diff --git a/TTS/tts/layers/glow_tts/time_depth_sep_conv.py b/TTS/tts/layers/generic/time_depth_sep_conv.py similarity index 100% rename from TTS/tts/layers/glow_tts/time_depth_sep_conv.py rename to TTS/tts/layers/generic/time_depth_sep_conv.py diff --git a/TTS/tts/layers/glow_tts/decoder.py b/TTS/tts/layers/glow_tts/decoder.py index 67329a2a..6788132e 100644 --- a/TTS/tts/layers/glow_tts/decoder.py +++ b/TTS/tts/layers/glow_tts/decoder.py @@ -2,7 +2,7 @@ import torch from torch import nn from TTS.tts.layers.glow_tts.glow import InvConvNear, CouplingBlock -from TTS.tts.layers.glow_tts.normalization import ActNorm +from TTS.tts.layers.generic.normalization import ActNorm def squeeze(x, x_mask=None, num_sqz=2): diff --git a/TTS/tts/layers/glow_tts/duration_predictor.py b/TTS/tts/layers/glow_tts/duration_predictor.py index 9f825832..b6383674 100644 --- a/TTS/tts/layers/glow_tts/duration_predictor.py +++ b/TTS/tts/layers/glow_tts/duration_predictor.py @@ -1,7 +1,7 @@ import torch from torch import nn -from .normalization import LayerNorm +from ..generic.normalization import LayerNorm class DurationPredictor(nn.Module): diff --git a/TTS/tts/layers/glow_tts/encoder.py b/TTS/tts/layers/glow_tts/encoder.py index c5af85ec..e9b19aa4 100644 --- a/TTS/tts/layers/glow_tts/encoder.py +++ b/TTS/tts/layers/glow_tts/encoder.py @@ -3,11 +3,12 @@ import torch from torch import nn from TTS.tts.layers.glow_tts.transformer import Transformer -from TTS.tts.layers.glow_tts.gated_conv import GatedConvBlock +from TTS.tts.layers.generic.gated_conv import GatedConvBlock from TTS.tts.utils.generic_utils import sequence_mask from TTS.tts.layers.glow_tts.glow import ConvLayerNorm from TTS.tts.layers.glow_tts.duration_predictor import DurationPredictor -from TTS.tts.layers.glow_tts.time_depth_sep_conv import TimeDepthSeparableConvBlock +from TTS.tts.layers.generic.time_depth_sep_conv import TimeDepthSeparableConvBlock +from TTS.tts.layers.generic.res_conv_bn import ResidualConvBNBlock class Encoder(nn.Module): @@ -84,12 +85,26 @@ class Encoder(nn.Module): dropout_p=dropout_p, rel_attn_window_size=rel_attn_window_size, input_length=input_length) - elif encoder_type.lower() == 'gatedconv': + elif encoder_type.lower() == 'gated_conv': self.encoder = GatedConvBlock(hidden_channels, kernel_size=5, dropout_p=dropout_p, num_layers=3 + num_layers) - elif encoder_type.lower() == 'time-depth-separable': + elif encoder_type.lower() == 'residual_conv_bn': + if use_prenet: + self.pre = nn.Sequential( + nn.Conv1d(hidden_channels, hidden_channels, 1), + nn.ReLU() + ) + dilations = 4 * [1, 2, 4] + [1] + num_conv_blocks = 2 + num_res_blocks = 13 # total 2 * 13 blocks + self.encoder = ResidualConvBNBlock(hidden_channels, + kernel_size=4, + dilations=dilations, + num_res_blocks=num_res_blocks, + num_conv_blocks=num_conv_blocks) + elif encoder_type.lower() == 'time_depth_separable': # optional convolutional prenet if use_prenet: self.pre = ConvLayerNorm(hidden_channels, diff --git a/TTS/tts/layers/glow_tts/glow.py b/TTS/tts/layers/glow_tts/glow.py index b06dd8a5..7b394e43 100644 --- a/TTS/tts/layers/glow_tts/glow.py +++ b/TTS/tts/layers/glow_tts/glow.py @@ -2,7 +2,7 @@ import torch from torch import nn from torch.nn import functional as F -from .normalization import LayerNorm +from ..generic.normalization import LayerNorm class ConvLayerNorm(nn.Module): diff --git a/TTS/tts/models/glow_tts.py b/TTS/tts/models/glow_tts.py index 734c11e5..91ee3fa3 100644 --- a/TTS/tts/models/glow_tts.py +++ b/TTS/tts/models/glow_tts.py @@ -141,7 +141,7 @@ class GlowTts(nn.Module): o_mean, o_log_scale, o_dur_log, x_mask = self.encoder(x, x_lengths, g=g) - # format feature vectors and feature vector lenghts + # drop redisual frames wrt num_sqz and set y_lengths. y, y_lengths, y_max_length, attn = self.preprocess( y, y_lengths, y_max_length, None) # create masks From fa6907fa0e956996d07850b94d5ef2852af8592b Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 17 Dec 2020 12:27:51 +0100 Subject: [PATCH 050/108] update glow-tts parameters and fix rel-attn-win size --- TTS/tts/layers/glow_tts/duration_predictor.py | 16 ++++++++-------- TTS/tts/layers/glow_tts/encoder.py | 18 ++++++++---------- TTS/tts/layers/glow_tts/transformer.py | 14 +++++++------- TTS/tts/models/glow_tts.py | 16 +++++++--------- TTS/tts/utils/generic_utils.py | 5 +++-- 5 files changed, 33 insertions(+), 36 deletions(-) diff --git a/TTS/tts/layers/glow_tts/duration_predictor.py b/TTS/tts/layers/glow_tts/duration_predictor.py index b6383674..a83bb292 100644 --- a/TTS/tts/layers/glow_tts/duration_predictor.py +++ b/TTS/tts/layers/glow_tts/duration_predictor.py @@ -5,27 +5,27 @@ from ..generic.normalization import LayerNorm class DurationPredictor(nn.Module): - def __init__(self, in_channels, filter_channels, kernel_size, dropout_p): + def __init__(self, in_channels, hidden_channels, kernel_size, dropout_p): super().__init__() # class arguments self.in_channels = in_channels - self.filter_channels = filter_channels + self.filter_channels = hidden_channels self.kernel_size = kernel_size self.dropout_p = dropout_p # layers self.drop = nn.Dropout(dropout_p) self.conv_1 = nn.Conv1d(in_channels, - filter_channels, + hidden_channels, kernel_size, padding=kernel_size // 2) - self.norm_1 = LayerNorm(filter_channels) - self.conv_2 = nn.Conv1d(filter_channels, - filter_channels, + self.norm_1 = LayerNorm(hidden_channels) + self.conv_2 = nn.Conv1d(hidden_channels, + hidden_channels, kernel_size, padding=kernel_size // 2) - self.norm_2 = LayerNorm(filter_channels) + self.norm_2 = LayerNorm(hidden_channels) # output layer - self.proj = nn.Conv1d(filter_channels, 1, 1) + self.proj = nn.Conv1d(hidden_channels, 1, 1) def forward(self, x, x_mask): x = self.conv_1(x * x_mask) diff --git a/TTS/tts/layers/glow_tts/encoder.py b/TTS/tts/layers/glow_tts/encoder.py index e9b19aa4..ef4dc28b 100644 --- a/TTS/tts/layers/glow_tts/encoder.py +++ b/TTS/tts/layers/glow_tts/encoder.py @@ -19,7 +19,7 @@ class Encoder(nn.Module): num_chars (int): number of characters. out_channels (int): number of output channels. hidden_channels (int): encoder's embedding size. - filter_channels (int): transformer's feed-forward channels. + hidden_channels_ffn (int): transformer's feed-forward channels. num_head (int): number of attention heads in transformer. num_layers (int): number of transformer encoder stack. kernel_size (int): kernel size for conv layers and duration predictor. @@ -35,12 +35,11 @@ class Encoder(nn.Module): num_chars, out_channels, hidden_channels, - filter_channels, - filter_channels_dp, + hidden_channels_ffn, + hidden_channels_dp, encoder_type, num_heads, num_layers, - kernel_size, dropout_p, rel_attn_window_size=None, input_length=None, @@ -52,11 +51,10 @@ class Encoder(nn.Module): self.num_chars = num_chars self.out_channels = out_channels self.hidden_channels = hidden_channels - self.filter_channels = filter_channels - self.filter_channels_dp = filter_channels_dp + self.hidden_channels_ffn = hidden_channels_ffn + self.hidden_channels_dp = hidden_channels_dp self.num_heads = num_heads self.num_layers = num_layers - self.kernel_size = kernel_size self.dropout_p = dropout_p self.mean_only = mean_only self.use_prenet = use_prenet @@ -78,10 +76,10 @@ class Encoder(nn.Module): # text encoder self.encoder = Transformer( hidden_channels, - filter_channels, + hidden_channels_ffn, num_heads, num_layers, - kernel_size=kernel_size, + kernel_size=3, dropout_p=dropout_p, rel_attn_window_size=rel_attn_window_size, input_length=input_length) @@ -125,7 +123,7 @@ class Encoder(nn.Module): self.proj_s = nn.Conv1d(hidden_channels, out_channels, 1) # duration predictor self.duration_predictor = DurationPredictor( - hidden_channels + c_in_channels, filter_channels_dp, kernel_size, + hidden_channels + c_in_channels, hidden_channels_dp, 3, dropout_p) def forward(self, x, x_lengths, g=None): diff --git a/TTS/tts/layers/glow_tts/transformer.py b/TTS/tts/layers/glow_tts/transformer.py index 4b1c88a7..cc61c760 100644 --- a/TTS/tts/layers/glow_tts/transformer.py +++ b/TTS/tts/layers/glow_tts/transformer.py @@ -229,23 +229,23 @@ class FFN(nn.Module): def __init__(self, in_channels, out_channels, - filter_channels, + hidden_channels, kernel_size, dropout_p=0., activation=None): super().__init__() self.in_channels = in_channels self.out_channels = out_channels - self.filter_channels = filter_channels + self.hidden_channels = hidden_channels self.kernel_size = kernel_size self.dropout_p = dropout_p self.activation = activation self.conv_1 = nn.Conv1d(in_channels, - filter_channels, + hidden_channels, kernel_size, padding=kernel_size // 2) - self.conv_2 = nn.Conv1d(filter_channels, + self.conv_2 = nn.Conv1d(hidden_channels, out_channels, kernel_size, padding=kernel_size // 2) @@ -265,7 +265,7 @@ class FFN(nn.Module): class Transformer(nn.Module): def __init__(self, hidden_channels, - filter_channels, + hidden_channels_ffn, num_heads, num_layers, kernel_size=1, @@ -274,7 +274,7 @@ class Transformer(nn.Module): input_length=None): super().__init__() self.hidden_channels = hidden_channels - self.filter_channels = filter_channels + self.hidden_channels_ffn = hidden_channels_ffn self.num_heads = num_heads self.num_layers = num_layers self.kernel_size = kernel_size @@ -299,7 +299,7 @@ class Transformer(nn.Module): self.ffn_layers.append( FFN(hidden_channels, hidden_channels, - filter_channels, + hidden_channels_ffn, kernel_size, dropout_p=dropout_p)) self.norm_layers_2.append(LayerNorm(hidden_channels)) diff --git a/TTS/tts/models/glow_tts.py b/TTS/tts/models/glow_tts.py index 91ee3fa3..bd6d5eb8 100644 --- a/TTS/tts/models/glow_tts.py +++ b/TTS/tts/models/glow_tts.py @@ -14,10 +14,9 @@ class GlowTts(nn.Module): def __init__(self, num_chars, hidden_channels, - filter_channels, - filter_channels_dp, + hidden_channels_ffn, + hidden_channels_dp, out_channels, - kernel_size=3, num_heads=2, num_layers_enc=6, dropout_p=0.1, @@ -43,10 +42,9 @@ class GlowTts(nn.Module): super().__init__() self.num_chars = num_chars self.hidden_channels = hidden_channels - self.filter_channels = filter_channels - self.filter_channels_dp = filter_channels_dp + self.hidden_channels_ffn = hidden_channels_ffn + self.hidden_channels_dp = hidden_channels_dp self.out_channels = out_channels - self.kernel_size = kernel_size self.num_heads = num_heads self.num_layers_enc = num_layers_enc self.dropout_p = dropout_p @@ -80,13 +78,13 @@ class GlowTts(nn.Module): self.encoder = Encoder(num_chars, out_channels=out_channels, hidden_channels=hidden_channels, - filter_channels=filter_channels, - filter_channels_dp=filter_channels_dp, + hidden_channels_ffn=hidden_channels_ffn, + hidden_channels_dp=hidden_channels_dp, encoder_type=encoder_type, num_heads=num_heads, num_layers=num_layers_enc, - kernel_size=kernel_size, dropout_p=dropout_p, + rel_attn_window_size=rel_attn_window_size, mean_only=mean_only, use_prenet=use_encoder_prenet, c_in_channels=self.c_in_channels) diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 1fed8a4e..741e8e5c 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -104,8 +104,8 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): elif c.model.lower() == "glow_tts": model = MyModel(num_chars=num_chars + getattr(c, "add_blank", False), hidden_channels=192, - filter_channels=768, - filter_channels_dp=256, + hidden_channels_ffn=768, + hidden_channels_dp=256, out_channels=c.audio['num_mels'], kernel_size=3, num_heads=2, @@ -126,6 +126,7 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): hidden_channels_enc=192, hidden_channels_dec=192, use_encoder_prenet=True, + rel_attn_window_size=4, external_speaker_embedding_dim=speaker_embedding_dim) return model From 27a75de15f84dfc25dd72d795425420fb7aee1bf Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 21 Dec 2020 12:28:42 +0100 Subject: [PATCH 051/108] update processors for loading attention maps --- TTS/tts/datasets/preprocess.py | 45 ++++++++++++++++++++++++---------- 1 file changed, 32 insertions(+), 13 deletions(-) diff --git a/TTS/tts/datasets/preprocess.py b/TTS/tts/datasets/preprocess.py index 01a56adb..56fc75f5 100644 --- a/TTS/tts/datasets/preprocess.py +++ b/TTS/tts/datasets/preprocess.py @@ -8,6 +8,9 @@ from tqdm import tqdm from TTS.tts.utils.generic_utils import split_dataset +#################### +# UTILITIES +#################### def load_meta_data(datasets, eval_split=True): meta_data_train_all = [] @@ -17,9 +20,12 @@ def load_meta_data(datasets, eval_split=True): root_path = dataset['path'] meta_file_train = dataset['meta_file_train'] meta_file_val = dataset['meta_file_val'] + # setup the right data processor preprocessor = get_preprocessor_by_name(name) + # load train set meta_data_train = preprocessor(root_path, meta_file_train) print(f" | > Found {len(meta_data_train)} files in {Path(root_path).resolve()}") + # load evaluation split if set if eval_split: if meta_file_val is None: meta_data_eval, meta_data_train = split_dataset(meta_data_train) @@ -27,15 +33,41 @@ def load_meta_data(datasets, eval_split=True): meta_data_eval = preprocessor(root_path, meta_file_val) meta_data_eval_all += meta_data_eval meta_data_train_all += meta_data_train + # load attention masks for duration predictor training + if 'meta_file_attn_mask' in dataset: + meta_data = dict(load_attention_mask_meta_data(dataset['meta_file_attn_mask'])) + for idx, ins in enumerate(meta_data_train_all): + attn_file = meta_data[ins[1]].strip() + meta_data_train_all[idx].append(attn_file) + if meta_data_eval_all is not None: + for idx, ins in enumerate(meta_data_eval_all): + attn_file = meta_data[ins[1]].strip() + meta_data_eval_all[idx].append(attn_file) return meta_data_train_all, meta_data_eval_all +def load_attention_mask_meta_data(metafile_path): + """Load meta data file created by compute_attention_masks.py""" + with open(metafile_path, 'r') as f: + lines = f.readlines() + + meta_data = [] + for line in lines: + wav_file, attn_file = line.split('|') + meta_data.append([wav_file, attn_file]) + return meta_data + + def get_preprocessor_by_name(name): """Returns the respective preprocessing function.""" thismodule = sys.modules[__name__] return getattr(thismodule, name.lower()) +######################## +# DATASETS +######################## + def tweb(root_path, meta_file): """Normalize TWEB dataset. https://www.kaggle.com/bryanpark/the-world-english-bible-speech-dataset @@ -52,19 +84,6 @@ def tweb(root_path, meta_file): return items -# def kusal(root_path, meta_file): -# txt_file = os.path.join(root_path, meta_file) -# texts = [] -# wavs = [] -# with open(txt_file, "r", encoding="utf8") as f: -# frames = [ -# line.split('\t') for line in f -# if line.split('\t')[0] in self.wav_files_dict.keys() -# ] -# # TODO: code the rest -# return {'text': texts, 'wavs': wavs} - - def mozilla(root_path, meta_file): """Normalizes Mozilla meta data files to TTS format""" txt_file = os.path.join(root_path, meta_file) From 57ef53bef315e05e686c9de5d42d462aa45f4e79 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 21 Dec 2020 12:29:07 +0100 Subject: [PATCH 052/108] update argumnet check for non tacotron models --- TTS/tts/utils/generic_utils.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 741e8e5c..c5f966c6 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -126,15 +126,21 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): hidden_channels_enc=192, hidden_channels_dec=192, use_encoder_prenet=True, - rel_attn_window_size=4, external_speaker_embedding_dim=speaker_embedding_dim) + elif c.model.lower() == "speedy_speech": + model = MyModel(num_chars=num_chars + getattr(c, "add_blank", False), + out_channels=c.audio['num_mels'], + hidden_channels=128, + encoder_type=c['encoder_type'], + decoder_residual_conv_bn_params=c['decoder_residual_conv_bn_params'], + c_in_channels=0) return model def is_tacotron(c): - return False if 'glow_tts' in c['model'] else True + return False if c['model'] in ['speedy_speech', 'glow_tts'] else True def check_config_tts(c): - check_argument('model', c, enum_list=['tacotron', 'tacotron2', 'glow_tts'], restricted=True, val_type=str) + check_argument('model', c, enum_list=['tacotron', 'tacotron2', 'glow_tts', 'speedy_speech'], restricted=True, val_type=str) check_argument('run_name', c, restricted=True, val_type=str) check_argument('run_description', c, val_type=str) From 022af74d74a91143681f46dd41bbef05551618eb Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 21 Dec 2020 12:29:20 +0100 Subject: [PATCH 053/108] update prompt msg --- TTS/tts/utils/speakers.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TTS/tts/utils/speakers.py b/TTS/tts/utils/speakers.py index d507ff3d..43bb1f6a 100644 --- a/TTS/tts/utils/speakers.py +++ b/TTS/tts/utils/speakers.py @@ -63,7 +63,7 @@ def parse_speakers(c, args, meta_data_train, OUT_PATH): speaker_embedding_dim = None save_speaker_mapping(OUT_PATH, speaker_mapping) num_speakers = len(speaker_mapping) - print("Training with {} speakers: {}".format(len(speakers), + print(" > Training with {} speakers: {}".format(len(speakers), ", ".join(speakers))) else: num_speakers = 0 From 96cf2479347c693382fe282e8f545d796d249274 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 13:50:09 +0100 Subject: [PATCH 054/108] update readme --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index 9f3a7a5a..043f2b25 100644 --- a/README.md +++ b/README.md @@ -32,15 +32,18 @@ Text-to-Spectrogram: - Tacotron: [paper](https://arxiv.org/abs/1703.10135) - Tacotron2: [paper](https://arxiv.org/abs/1712.05884) - Glow-TTS: [paper](https://arxiv.org/abs/2005.11129) +- Speedy-Speech [paper](https://arxiv.org/pdf/2008.03802.pdf) Attention Methods: - Guided Attention: [paper](https://arxiv.org/abs/1710.08969) - Forward Backward Decoding: [paper](https://arxiv.org/abs/1907.09006) - Graves Attention: [paper](https://arxiv.org/abs/1907.09006) - Double Decoder Consistency: [blog](https://erogol.com/solving-attention-problems-of-tts-models-with-double-decoder-consistency/) +- Dynamic Convolutional Attention [paper](https://arxiv.org/abs/1910.10288) Speaker Encoder: - GE2E: [paper](https://arxiv.org/abs/1710.10467) +- Angular-Prototypical [paper](https://arxiv.org/pdf/2003.11982.pdf) Vocoders: - MelGAN: [paper](https://arxiv.org/abs/1710.10467) From a1d5a9dddad3bad7f6e74504399c60fe142d9e3f Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 13:50:44 +0100 Subject: [PATCH 055/108] config update tyo use noise for augmentation --- TTS/tts/configs/config.json | 1 + 1 file changed, 1 insertion(+) diff --git a/TTS/tts/configs/config.json b/TTS/tts/configs/config.json index 54fcada7..48f20e8f 100644 --- a/TTS/tts/configs/config.json +++ b/TTS/tts/configs/config.json @@ -132,6 +132,7 @@ "min_seq_len": 6, // DATASET-RELATED: minimum text length to use in training "max_seq_len": 153, // DATASET-RELATED: maximum text length "compute_input_seq_cache": false, // if true, text sequences are computed before starting training. If phonemes are enabled, they are also computed at this stage. + "use_noise_augment": true, // PATHS "output_path": "/home/erogol/Models/LJSpeech/", From d62cac7252eceac2cf49a7ab55c391b85769e30c Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 13:51:15 +0100 Subject: [PATCH 056/108] fix glow-tts prenet bug fix --- TTS/tts/layers/glow_tts/encoder.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/TTS/tts/layers/glow_tts/encoder.py b/TTS/tts/layers/glow_tts/encoder.py index ef4dc28b..b57370fe 100644 --- a/TTS/tts/layers/glow_tts/encoder.py +++ b/TTS/tts/layers/glow_tts/encoder.py @@ -136,9 +136,8 @@ class Encoder(nn.Module): x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.size(2)), 1).to(x.dtype) # pre-conv layers - if self.encoder_type in ['transformer', 'time-depth-separable']: - if self.use_prenet: - x = self.pre(x, x_mask) + if hasattr(self, 'pre') and self.use_prenet: + x = self.pre(x, x_mask) # encoder x = self.encoder(x, x_mask) # set duration predictor input From dc4a16d62e4a935d1a9a0556d417efeff9e468fa Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 13:51:50 +0100 Subject: [PATCH 057/108] speedy speehc losses --- TTS/tts/layers/losses.py | 38 +++++++++++++++++++++++++++++++++++++- 1 file changed, 37 insertions(+), 1 deletion(-) diff --git a/TTS/tts/layers/losses.py b/TTS/tts/layers/losses.py index 4fa752cf..8f0d33c8 100644 --- a/TTS/tts/layers/losses.py +++ b/TTS/tts/layers/losses.py @@ -240,6 +240,23 @@ class GuidedAttentionLoss(torch.nn.Module): return out_masks.unsqueeze(-1) & in_masks.unsqueeze(-2) +class Huber(nn.Module): + def forward(self, x, y, length=None): + """ + Shapes: + x: B x T + y: B x T + length: B + """ + mask = sequence_mask(sequence_length=length, max_len=y.size(1)).float() + return torch.nn.functional.smooth_l1_loss( + x * mask, y * mask, reduction='sum') / mask.sum() + + +######################## +# MODEL LOSS LAYERS +######################## + class TacotronLoss(torch.nn.Module): """Collection of Tacotron set-up based on provided config.""" def __init__(self, c, stopnet_pos_weight=10, ga_sigma=0.4): @@ -403,8 +420,27 @@ class GlowTTSLoss(torch.nn.Module): return_dict['log_mle'] = log_mle return_dict['loss_dur'] = loss_dur - # check if any loss is NaN + # check if any loss is NaN for key, loss in return_dict.items(): if torch.isnan(loss): raise RuntimeError(f" [!] NaN loss with {key}.") return return_dict + + +class SpeedySpeechLoss(nn.Module): + def __init__(self, c): + super().__init__() + self.l1 = L1LossMasked(False) + self.ssim = SSIMLoss() + self.huber = Huber() + + self.ssim_alpha = c.ssim_alpha + self.huber_alpha = c.huber_alpha + self.l1_alpha = c.l1_alpha + + def forward(self, decoder_output, decoder_target, decoder_output_lens, dur_output, dur_target, input_lens): + l1_loss = self.l1(decoder_output, decoder_target, decoder_output_lens) + ssim_loss = self.ssim(decoder_output, decoder_target, decoder_output_lens) + huber_loss = self.huber(dur_output, dur_target, input_lens) + loss = l1_loss + ssim_loss + huber_loss + return {'loss': loss, 'loss_l1': l1_loss, 'loss_ssim': ssim_loss, 'loss_dur': huber_loss} From 5cae2c5742ae1563cd278b38c9ac99387bbffe9a Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 13:52:51 +0100 Subject: [PATCH 058/108] make optional position encoding for speedyspeech --- TTS/tts/utils/generic_utils.py | 1 + 1 file changed, 1 insertion(+) diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index c5f966c6..0f442694 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -131,6 +131,7 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): model = MyModel(num_chars=num_chars + getattr(c, "add_blank", False), out_channels=c.audio['num_mels'], hidden_channels=128, + positional_encoding=c['positional_encoding'], encoder_type=c['encoder_type'], decoder_residual_conv_bn_params=c['decoder_residual_conv_bn_params'], c_in_channels=0) From 30788960a85247eb56d21062692c961a74d1fa1b Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 13:53:10 +0100 Subject: [PATCH 059/108] check SS model parameters --- TTS/tts/utils/generic_utils.py | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 0f442694..7758ce08 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -198,6 +198,10 @@ def check_config_tts(c): check_argument('decoder_ssim_alpha', c, restricted=True, val_type=float, min_val=0) check_argument('postnet_ssim_alpha', c, restricted=True, val_type=float, min_val=0) check_argument('ga_alpha', c, restricted=True, val_type=float, min_val=0) + if c['model'].lower == "speedy_speech": + check_argument('ssim_alpha', c, restricted=True, val_type=float, min_val=0) + check_argument('l1_alpha', c, restricted=True, val_type=float, min_val=0) + check_argument('huber_alpha', c, restricted=True, val_type=float, min_val=0) # validation parameters check_argument('run_eval', c, restricted=True, val_type=bool) @@ -209,9 +213,9 @@ def check_config_tts(c): check_argument('grad_clip', c, restricted=True, val_type=float, min_val=0.0) check_argument('epochs', c, restricted=True, val_type=int, min_val=1) check_argument('lr', c, restricted=True, val_type=float, min_val=0) - check_argument('wd', c, restricted=True, val_type=float, min_val=0) + check_argument('wd', c, restricted=is_tacotron(c), val_type=float, min_val=0) check_argument('warmup_steps', c, restricted=True, val_type=int, min_val=0) - check_argument('seq_len_norm', c, restricted=True, val_type=bool) + check_argument('seq_len_norm', c, restricted=is_tacotron(c), val_type=bool) # tacotron prenet check_argument('memory_size', c, restricted=is_tacotron(c), val_type=int, min_val=-1) @@ -237,6 +241,13 @@ def check_config_tts(c): check_argument('stopnet', c, restricted=is_tacotron(c), val_type=bool) check_argument('separate_stopnet', c, restricted=is_tacotron(c), val_type=bool) + # Model Parameters for non-tacotron models + if c['model'].lower == "speedy_speech": + check_argument('positional_encoding', c, restricted=True, val_type=type) + check_argument('encoder_type', c, restricted=True, val_type=str) + check_argument('encoder_params', c, restricted=True, val_type=dict) + check_argument('decoder_residual_conv_bn_params', c, restricted=True, val_type=dict) + # GlowTTS parameters check_argument('encoder_type', c, restricted=not is_tacotron(c), val_type=str) From 13c6665c92668e54d6ad10cda3e87e61fb8def39 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 13:53:31 +0100 Subject: [PATCH 060/108] inference for SS --- TTS/tts/utils/synthesis.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/TTS/tts/utils/synthesis.py b/TTS/tts/utils/synthesis.py index d75ac64b..7e71df64 100644 --- a/TTS/tts/utils/synthesis.py +++ b/TTS/tts/utils/synthesis.py @@ -71,6 +71,17 @@ def run_model_torch(model, inputs, CONFIG, truncated, speaker_id=None, style_mel # these only belong to tacotron models. decoder_output = None stop_tokens = None + elif 'speedy_speech' in CONFIG.model.lower(): + inputs_lengths = torch.tensor(inputs.shape[1:2]).to(inputs.device) # pylint: disable=not-callable + if hasattr(model, 'module'): + # distributed model + postnet_output, alignments= model.module.inference(inputs, inputs_lengths, g=speaker_id if speaker_id is not None else speaker_embeddings) + else: + postnet_output, alignments= model.inference(inputs, inputs_lengths, g=speaker_id if speaker_id is not None else speaker_embeddings) + postnet_output = postnet_output.permute(0, 2, 1) + # these only belong to tacotron models. + decoder_output = None + stop_tokens = None return decoder_output, postnet_output, alignments, stop_tokens From e4680e1b990ea8ca6539afbfeb7521e085d672a6 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 13:53:51 +0100 Subject: [PATCH 061/108] plot float16 alignments --- TTS/tts/utils/visual.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/TTS/tts/utils/visual.py b/TTS/tts/utils/visual.py index 6eb3abdf..17cba648 100644 --- a/TTS/tts/utils/visual.py +++ b/TTS/tts/utils/visual.py @@ -17,6 +17,8 @@ def plot_alignment(alignment, alignment_ = alignment.detach().cpu().numpy().squeeze() else: alignment_ = alignment + alignment_ = alignment_.astype( + np.float32) if alignment_.dtype == np.float16 else alignment_ fig, ax = plt.subplots(figsize=fig_size) im = ax.imshow(alignment_.T, aspect='auto', From 61b72e6438346286861be6a59d9494a4b999ba85 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 14:41:01 +0100 Subject: [PATCH 062/108] remove travis config --- .travis/script | 22 ---------------------- 1 file changed, 22 deletions(-) delete mode 100755 .travis/script diff --git a/.travis/script b/.travis/script deleted file mode 100755 index 0860f9cf..00000000 --- a/.travis/script +++ /dev/null @@ -1,22 +0,0 @@ -#!/bin/bash -set -ex - -git remote set-branches --add origin $TRAVIS_BRANCH -git fetch - -if [[ ( "$TRAVIS_PULL_REQUEST" != "false" ) && ( "$TEST_SUITE" == "lint" ) ]]; then - # Run cardboardlinter, in case of pull requests - cardboardlinter --refspec origin/$TRAVIS_BRANCH -n auto -fi - -if [[ "$TEST_SUITE" == "unittest" ]]; then - nosetests tests --nocapture - ./tests/test_server_package.sh -fi - -if [[ "$TEST_SUITE" == "testscripts" ]]; then - # test model training scripts - ./tests/test_tts_train.sh - ./tests/test_vocoder_gan_train.sh - ./tests/test_vocoder_wavernn_train.sh -fi From 4b1065f6dbad5ce46d2af70663fc00bda0a443c0 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 14:41:09 +0100 Subject: [PATCH 063/108] test script for speedy_speech training --- .circleci/config.yml | 1 + run_tests.sh | 1 + 2 files changed, 2 insertions(+) diff --git a/.circleci/config.yml b/.circleci/config.yml index 93562418..5b340e32 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -44,6 +44,7 @@ jobs: ./tests/test_vocoder_gan_train.sh ./tests/test_vocoder_wavegrad_train.sh ./tests/test_vocoder_wavernn_train.sh + ./tests/test_speedy_speech_train.sh test-3.7: <<: *test-template diff --git a/run_tests.sh b/run_tests.sh index e04b7cb8..abfc53d4 100755 --- a/run_tests.sh +++ b/run_tests.sh @@ -11,6 +11,7 @@ nosetests tests -x &&\ ./tests/test_vocoder_gan_train.sh && \ ./tests/test_vocoder_wavernn_train.sh && \ ./tests/test_vocoder_wavegrad_train.sh && \ +./tests/test_speedy_speech_train.sh && \ # linter check cardboardlinter --refspec master \ No newline at end of file From cf869e8922436be2bee704c24126ea3810a384a8 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 14:43:26 +0100 Subject: [PATCH 064/108] add SS files --- TTS/bin/train_speedy_speech.py | 619 ++++++++++++++++++ TTS/tts/configs/speedy_speech_ljspeech.json | 149 +++++ TTS/tts/layers/speedy_speech/__init__.py | 0 TTS/tts/layers/speedy_speech/decoder.py | 41 ++ .../speedy_speech/duration_predictor.py | 27 + TTS/tts/layers/speedy_speech/encoder.py | 153 +++++ TTS/tts/models/speedy_speech.py | 123 ++++ 7 files changed, 1112 insertions(+) create mode 100644 TTS/bin/train_speedy_speech.py create mode 100644 TTS/tts/configs/speedy_speech_ljspeech.json create mode 100644 TTS/tts/layers/speedy_speech/__init__.py create mode 100644 TTS/tts/layers/speedy_speech/decoder.py create mode 100644 TTS/tts/layers/speedy_speech/duration_predictor.py create mode 100644 TTS/tts/layers/speedy_speech/encoder.py create mode 100644 TTS/tts/models/speedy_speech.py diff --git a/TTS/bin/train_speedy_speech.py b/TTS/bin/train_speedy_speech.py new file mode 100644 index 00000000..39466ffd --- /dev/null +++ b/TTS/bin/train_speedy_speech.py @@ -0,0 +1,619 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- + +import argparse +import glob +import os +import sys +import time +import traceback +import numpy as np +from random import randrange + +import torch +# DISTRIBUTED +from torch.nn.parallel import DistributedDataParallel as DDP_th +from torch.utils.data import DataLoader +from torch.utils.data.distributed import DistributedSampler +from TTS.tts.datasets.preprocess import load_meta_data +from TTS.tts.datasets.TTSDataset import MyDataset +from TTS.tts.layers.losses import SpeedySpeechLoss +from TTS.tts.utils.generic_utils import check_config_tts, setup_model +from TTS.tts.utils.io import save_best_model, save_checkpoint +from TTS.tts.utils.measures import alignment_diagonal_score +from TTS.tts.utils.speakers import parse_speakers +from TTS.tts.utils.synthesis import synthesis +from TTS.tts.utils.text.symbols import make_symbols, phonemes, symbols +from TTS.tts.utils.visual import plot_alignment, plot_spectrogram +from TTS.utils.audio import AudioProcessor +from TTS.utils.console_logger import ConsoleLogger +from TTS.utils.distribute import init_distributed, reduce_tensor +from TTS.utils.generic_utils import (KeepAverage, count_parameters, + create_experiment_folder, get_git_branch, + remove_experiment_folder, set_init_dict) +from TTS.utils.io import copy_config_file, load_config +from TTS.utils.radam import RAdam +from TTS.utils.tensorboard_logger import TensorboardLogger +from TTS.utils.training import NoamLR, setup_torch_training_env + +use_cuda, num_gpus = setup_torch_training_env(True, False) + + +def setup_loader(ap, r, is_val=False, verbose=False): + if is_val and not c.run_eval: + loader = None + else: + dataset = MyDataset( + r, + c.text_cleaner, + compute_linear_spec=False, + meta_data=meta_data_eval if is_val else meta_data_train, + ap=ap, + tp=c.characters if 'characters' in c.keys() else None, + add_blank=c['add_blank'] if 'add_blank' in c.keys() else False, + batch_group_size=0 if is_val else c.batch_group_size * + c.batch_size, + min_seq_len=c.min_seq_len, + max_seq_len=c.max_seq_len, + phoneme_cache_path=c.phoneme_cache_path, + use_phonemes=c.use_phonemes, + phoneme_language=c.phoneme_language, + enable_eos_bos=c.enable_eos_bos_chars, + use_noise_augment=not is_val, + verbose=verbose, + speaker_mapping=speaker_mapping if c.use_speaker_embedding and c.use_external_speaker_embedding_file else None) + + if c.use_phonemes and c.compute_input_seq_cache: + # precompute phonemes to have a better estimate of sequence lengths. + dataset.compute_input_seq(c.num_loader_workers) + dataset.sort_items() + + sampler = DistributedSampler(dataset) if num_gpus > 1 else None + loader = DataLoader( + dataset, + batch_size=c.eval_batch_size if is_val else c.batch_size, + shuffle=False, + collate_fn=dataset.collate_fn, + drop_last=False, + sampler=sampler, + num_workers=c.num_val_loader_workers + if is_val else c.num_loader_workers, + pin_memory=False) + return loader + + +def format_data(data): + # setup input data + text_input = data[0] + text_lengths = data[1] + speaker_names = data[2] + mel_input = data[4].permute(0, 2, 1) # B x D x T + mel_lengths = data[5] + item_idx = data[7] + attn_mask = data[9] + avg_text_length = torch.mean(text_lengths.float()) + avg_spec_length = torch.mean(mel_lengths.float()) + + if c.use_speaker_embedding: + if c.use_external_speaker_embedding_file: + # return precomputed embedding vector + speaker_c = data[8] + else: + # return speaker_id to be used by an embedding layer + speaker_c = [ + speaker_mapping[speaker_name] for speaker_name in speaker_names + ] + speaker_c = torch.LongTensor(speaker_c) + else: + speaker_c = None + # compute durations from attention mask + durations = torch.zeros(attn_mask.shape[0], attn_mask.shape[2]) + for idx, am in enumerate(attn_mask): + # compute raw durations + c_idxs = am[:, :text_lengths[idx], :mel_lengths[idx]].max(1)[1] + # c_idxs, counts = torch.unique_consecutive(c_idxs, return_counts=True) + c_idxs, counts = torch.unique(c_idxs, return_counts=True) + dur = torch.ones([text_lengths[idx]]).to(counts.dtype) + dur[c_idxs] = counts + # smooth the durations and set any 0 duration to 1 + # by cutting off from the largest duration indeces. + extra_frames = dur.sum() - mel_lengths[idx] + largest_idxs = torch.argsort(-dur)[:extra_frames] + dur[largest_idxs] -= 1 + assert dur.sum() == mel_lengths[idx], f" [!] total duration {dur.sum()} vs spectrogram length {mel_lengths[idx]}" + durations[idx, :text_lengths[idx]] = dur + # dispatch data to GPU + if use_cuda: + text_input = text_input.cuda(non_blocking=True) + text_lengths = text_lengths.cuda(non_blocking=True) + mel_input = mel_input.cuda(non_blocking=True) + mel_lengths = mel_lengths.cuda(non_blocking=True) + if speaker_c is not None: + speaker_c = speaker_c.cuda(non_blocking=True) + attn_mask = attn_mask.cuda(non_blocking=True) + durations = durations.cuda(non_blocking=True) + return text_input, text_lengths, mel_input, mel_lengths, speaker_c,\ + avg_text_length, avg_spec_length, attn_mask, durations, item_idx + + +def train(data_loader, model, criterion, optimizer, scheduler, + ap, global_step, epoch): + + model.train() + epoch_time = 0 + keep_avg = KeepAverage() + if use_cuda: + batch_n_iter = int( + len(data_loader.dataset) / (c.batch_size * num_gpus)) + else: + batch_n_iter = int(len(data_loader.dataset) / c.batch_size) + end_time = time.time() + c_logger.print_train_start() + scaler = torch.cuda.amp.GradScaler() if c.mixed_precision else None + for num_iter, data in enumerate(data_loader): + start_time = time.time() + + # format data + text_input, text_lengths, mel_targets, mel_lengths, speaker_c,\ + avg_text_length, avg_spec_length, attn_mask, dur_target, item_idx = format_data(data) + + loader_time = time.time() - end_time + + global_step += 1 + optimizer.zero_grad() + + # forward pass model + with torch.cuda.amp.autocast(enabled=c.mixed_precision): + decoder_output, dur_output, alignments = model.forward( + text_input, text_lengths, mel_lengths, dur_target, g=speaker_c) + + # compute loss + loss_dict = criterion(decoder_output, mel_targets, mel_lengths, dur_output, torch.log(1 + dur_target), text_lengths) + + # backward pass with loss scaling + if c.mixed_precision: + scaler.scale(loss_dict['loss']).backward() + scaler.unscale_(optimizer) + grad_norm = torch.nn.utils.clip_grad_norm_(model.parameters(), + c.grad_clip) + scaler.step(optimizer) + scaler.update() + else: + loss_dict['loss'].backward() + grad_norm = torch.nn.utils.clip_grad_norm_(model.parameters(), + c.grad_clip) + optimizer.step() + + # setup lr + if c.noam_schedule: + scheduler.step() + + # current_lr + current_lr = optimizer.param_groups[0]['lr'] + + # compute alignment error (the lower the better ) + align_error = 1 - alignment_diagonal_score(alignments, binary=True) + loss_dict['align_error'] = align_error + + step_time = time.time() - start_time + epoch_time += step_time + + # aggregate losses from processes + if num_gpus > 1: + loss_dict['loss_l1'] = reduce_tensor(loss_dict['loss_l1'].data, num_gpus) + loss_dict['loss_ssim'] = reduce_tensor(loss_dict['loss_ssim'].data, num_gpus) + loss_dict['loss_dur'] = reduce_tensor(loss_dict['loss_dur'].data, num_gpus) + loss_dict['loss'] = reduce_tensor(loss_dict['loss'] .data, num_gpus) + + # detach loss values + loss_dict_new = dict() + for key, value in loss_dict.items(): + if isinstance(value, (int, float)): + loss_dict_new[key] = value + else: + loss_dict_new[key] = value.item() + loss_dict = loss_dict_new + + # update avg stats + update_train_values = dict() + for key, value in loss_dict.items(): + update_train_values['avg_' + key] = value + update_train_values['avg_loader_time'] = loader_time + update_train_values['avg_step_time'] = step_time + keep_avg.update_values(update_train_values) + + # print training progress + if global_step % c.print_step == 0: + log_dict = { + + "avg_spec_length": [avg_spec_length, 1], # value, precision + "avg_text_length": [avg_text_length, 1], + "step_time": [step_time, 4], + "loader_time": [loader_time, 2], + "current_lr": current_lr, + } + c_logger.print_train_step(batch_n_iter, num_iter, global_step, + log_dict, loss_dict, keep_avg.avg_values) + + if args.rank == 0: + # Plot Training Iter Stats + # reduce TB load + if global_step % c.tb_plot_step == 0: + iter_stats = { + "lr": current_lr, + "grad_norm": grad_norm, + "step_time": step_time + } + iter_stats.update(loss_dict) + tb_logger.tb_train_iter_stats(global_step, iter_stats) + + if global_step % c.save_step == 0: + if c.checkpoint: + # save model + save_checkpoint(model, optimizer, global_step, epoch, 1, OUT_PATH, + model_loss=loss_dict['loss']) + + # wait all kernels to be completed + torch.cuda.synchronize() + + # Diagnostic visualizations + idx = np.random.randint(mel_targets.shape[0]) + pred_spec = decoder_output[idx].detach().data.cpu().numpy().T + gt_spec = mel_targets[idx].data.cpu().numpy().T + align_img = alignments[idx].data.cpu() + + figures = { + "prediction": plot_spectrogram(pred_spec, ap), + "ground_truth": plot_spectrogram(gt_spec, ap), + "alignment": plot_alignment(align_img), + } + + tb_logger.tb_train_figures(global_step, figures) + + # Sample audio + train_audio = ap.inv_melspectrogram(pred_spec.T) + tb_logger.tb_train_audios(global_step, + {'TrainAudio': train_audio}, + c.audio["sample_rate"]) + end_time = time.time() + + # print epoch stats + c_logger.print_train_epoch_end(global_step, epoch, epoch_time, keep_avg) + + # Plot Epoch Stats + if args.rank == 0: + epoch_stats = {"epoch_time": epoch_time} + epoch_stats.update(keep_avg.avg_values) + tb_logger.tb_train_epoch_stats(global_step, epoch_stats) + if c.tb_model_param_stats: + tb_logger.tb_model_weights(model, global_step) + return keep_avg.avg_values, global_step + + +@torch.no_grad() +def evaluate(data_loader, model, criterion, ap, global_step, epoch): + model.eval() + epoch_time = 0 + keep_avg = KeepAverage() + c_logger.print_eval_start() + if data_loader is not None: + for num_iter, data in enumerate(data_loader): + start_time = time.time() + + # format data + text_input, text_lengths, mel_targets, mel_lengths, speaker_c,\ + avg_text_length, avg_spec_length, attn_mask, dur_target, item_idx = format_data(data) + + # forward pass model + with torch.cuda.amp.autocast(enabled=c.mixed_precision): + decoder_output, dur_output, alignments = model.forward( + text_input, text_lengths, mel_lengths, dur_target, g=speaker_c) + + # compute loss + loss_dict = criterion(decoder_output, mel_targets, mel_lengths, dur_output, torch.log(1 + dur_target), text_lengths) + + # step time + step_time = time.time() - start_time + epoch_time += step_time + + # compute alignment score + align_error = 1 - alignment_diagonal_score(alignments) + loss_dict['align_error'] = align_error + + # aggregate losses from processes + if num_gpus > 1: + loss_dict['loss_l1'] = reduce_tensor(loss_dict['loss_l1'].data, num_gpus) + loss_dict['loss_ssim'] = reduce_tensor(loss_dict['loss_ssim'].data, num_gpus) + loss_dict['loss_dur'] = reduce_tensor(loss_dict['loss_dur'].data, num_gpus) + loss_dict['loss'] = reduce_tensor(loss_dict['loss'] .data, num_gpus) + + # detach loss values + loss_dict_new = dict() + for key, value in loss_dict.items(): + if isinstance(value, (int, float)): + loss_dict_new[key] = value + else: + loss_dict_new[key] = value.item() + loss_dict = loss_dict_new + + # update avg stats + update_train_values = dict() + for key, value in loss_dict.items(): + update_train_values['avg_' + key] = value + keep_avg.update_values(update_train_values) + + if c.print_eval: + c_logger.print_eval_step(num_iter, loss_dict, keep_avg.avg_values) + + if args.rank == 0: + # Diagnostic visualizations + idx = np.random.randint(mel_targets.shape[0]) + pred_spec = decoder_output[idx].detach().data.cpu().numpy().T + gt_spec = mel_targets[idx].data.cpu().numpy().T + align_img = alignments[idx].data.cpu() + + eval_figures = { + "prediction": plot_spectrogram(pred_spec, ap, output_fig=False), + "ground_truth": plot_spectrogram(gt_spec, ap, output_fig=False), + "alignment": plot_alignment(align_img, output_fig=False) + } + + # Sample audio + eval_audio = ap.inv_melspectrogram(pred_spec.T) + tb_logger.tb_eval_audios(global_step, {"ValAudio": eval_audio}, + c.audio["sample_rate"]) + + # Plot Validation Stats + tb_logger.tb_eval_stats(global_step, keep_avg.avg_values) + tb_logger.tb_eval_figures(global_step, eval_figures) + + if args.rank == 0 and epoch >= c.test_delay_epochs: + if c.test_sentences_file is None: + test_sentences = [ + "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.", + "Be a voice, not an echo.", + "I'm sorry Dave. I'm afraid I can't do that.", + "This cake is great. It's so delicious and moist.", + "Prior to November 22, 1963." + ] + else: + with open(c.test_sentences_file, "r") as f: + test_sentences = [s.strip() for s in f.readlines()] + + # test sentences + test_audios = {} + test_figures = {} + print(" | > Synthesizing test sentences") + if c.use_speaker_embedding: + if c.use_external_speaker_embedding_file: + speaker_embedding = speaker_mapping[list(speaker_mapping.keys())[randrange(len(speaker_mapping)-1)]]['embedding'] + speaker_id = None + else: + speaker_id = 0 + speaker_embedding = None + else: + speaker_id = None + speaker_embedding = None + + style_wav = c.get("style_wav_for_test") + for idx, test_sentence in enumerate(test_sentences): + try: + wav, alignment, _, postnet_output, _, _ = synthesis( + model, + test_sentence, + c, + use_cuda, + ap, + speaker_id=speaker_id, + speaker_embedding=speaker_embedding, + style_wav=style_wav, + truncated=False, + enable_eos_bos_chars=c.enable_eos_bos_chars, #pylint: disable=unused-argument + use_griffin_lim=True, + do_trim_silence=False) + + file_path = os.path.join(AUDIO_PATH, str(global_step)) + os.makedirs(file_path, exist_ok=True) + file_path = os.path.join(file_path, + "TestSentence_{}.wav".format(idx)) + ap.save_wav(wav, file_path) + test_audios['{}-audio'.format(idx)] = wav + test_figures['{}-prediction'.format(idx)] = plot_spectrogram( + postnet_output, ap) + test_figures['{}-alignment'.format(idx)] = plot_alignment( + alignment) + except: #pylint: disable=bare-except + print(" !! Error creating Test Sentence -", idx) + traceback.print_exc() + tb_logger.tb_test_audios(global_step, test_audios, + c.audio['sample_rate']) + tb_logger.tb_test_figures(global_step, test_figures) + return keep_avg.avg_values + + +# FIXME: move args definition/parsing inside of main? +def main(args): # pylint: disable=redefined-outer-name + # pylint: disable=global-variable-undefined + global meta_data_train, meta_data_eval, symbols, phonemes, speaker_mapping + # Audio processor + ap = AudioProcessor(**c.audio) + if 'characters' in c.keys(): + symbols, phonemes = make_symbols(**c.characters) + + # DISTRUBUTED + if num_gpus > 1: + init_distributed(args.rank, num_gpus, args.group_id, + c.distributed["backend"], c.distributed["url"]) + num_chars = len(phonemes) if c.use_phonemes else len(symbols) + + # load data instances + meta_data_train, meta_data_eval = load_meta_data(c.datasets, eval_split=True) + + # set the portion of the data used for training if set in config.json + if 'train_portion' in c.keys(): + meta_data_train = meta_data_train[:int(len(meta_data_train) * c.train_portion)] + if 'eval_portion' in c.keys(): + meta_data_eval = meta_data_eval[:int(len(meta_data_eval) * c.eval_portion)] + + # parse speakers + num_speakers, speaker_embedding_dim, speaker_mapping = parse_speakers(c, args, meta_data_train, OUT_PATH) + + # setup model + model = setup_model(num_chars, num_speakers, c, speaker_embedding_dim=speaker_embedding_dim) + optimizer = RAdam(model.parameters(), lr=c.lr, weight_decay=0, betas=(0.9, 0.98), eps=1e-9) + criterion = SpeedySpeechLoss(c) + + if args.restore_path: + checkpoint = torch.load(args.restore_path, map_location='cpu') + try: + # TODO: fix optimizer init, model.cuda() needs to be called before + # optimizer restore + optimizer.load_state_dict(checkpoint['optimizer']) + if c.reinit_layers: + raise RuntimeError + model.load_state_dict(checkpoint['model']) + except: #pylint: disable=bare-except + print(" > Partial model initialization.") + model_dict = model.state_dict() + model_dict = set_init_dict(model_dict, checkpoint['model'], c) + model.load_state_dict(model_dict) + del model_dict + + for group in optimizer.param_groups: + group['initial_lr'] = c.lr + print(" > Model restored from step %d" % checkpoint['step'], + flush=True) + args.restore_step = checkpoint['step'] + else: + args.restore_step = 0 + + if use_cuda: + model.cuda() + criterion.cuda() + + # DISTRUBUTED + if num_gpus > 1: + model = DDP_th(model, device_ids=[args.rank]) + + if c.noam_schedule: + scheduler = NoamLR(optimizer, + warmup_steps=c.warmup_steps, + last_epoch=args.restore_step - 1) + else: + scheduler = None + + num_params = count_parameters(model) + print("\n > Model has {} parameters".format(num_params), flush=True) + + if 'best_loss' not in locals(): + best_loss = float('inf') + + # define dataloaders + train_loader = setup_loader(ap, 1, is_val=False, verbose=True) + eval_loader = setup_loader(ap, 1, is_val=True, verbose=True) + + global_step = args.restore_step + for epoch in range(0, c.epochs): + c_logger.print_epoch_start(epoch, c.epochs) + train_avg_loss_dict, global_step = train(train_loader, model, criterion, optimizer, + scheduler, ap, global_step, + epoch) + eval_avg_loss_dict = evaluate(eval_loader , model, criterion, ap, global_step, epoch) + c_logger.print_epoch_end(epoch, eval_avg_loss_dict) + target_loss = train_avg_loss_dict['avg_loss'] + if c.run_eval: + target_loss = eval_avg_loss_dict['avg_loss'] + best_loss = save_best_model(target_loss, best_loss, model, optimizer, global_step, epoch, c.r, + OUT_PATH) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser() + parser.add_argument( + '--continue_path', + type=str, + help='Training output folder to continue training. Use to continue a training. If it is used, "config_path" is ignored.', + default='', + required='--config_path' not in sys.argv) + parser.add_argument( + '--restore_path', + type=str, + help='Model file to be restored. Use to finetune a model.', + default='') + parser.add_argument( + '--config_path', + type=str, + help='Path to config file for training.', + required='--continue_path' not in sys.argv + ) + parser.add_argument('--debug', + type=bool, + default=False, + help='Do not verify commit integrity to run training.') + + # DISTRUBUTED + parser.add_argument( + '--rank', + type=int, + default=0, + help='DISTRIBUTED: process rank for distributed training.') + parser.add_argument('--group_id', + type=str, + default="", + help='DISTRIBUTED: process group id.') + args = parser.parse_args() + + if args.continue_path != '': + args.output_path = args.continue_path + args.config_path = os.path.join(args.continue_path, 'config.json') + list_of_files = glob.glob(args.continue_path + "/*.pth.tar") # * means all if need specific format then *.csv + latest_model_file = max(list_of_files, key=os.path.getctime) + args.restore_path = latest_model_file + print(f" > Training continues for {args.restore_path}") + + # setup output paths and read configs + c = load_config(args.config_path) + # check_config(c) + check_config_tts(c) + _ = os.path.dirname(os.path.realpath(__file__)) + + if c.mixed_precision: + print(" > Mixed precision enabled.") + + OUT_PATH = args.continue_path + if args.continue_path == '': + OUT_PATH = create_experiment_folder(c.output_path, c.run_name, args.debug) + + AUDIO_PATH = os.path.join(OUT_PATH, 'test_audios') + + c_logger = ConsoleLogger() + + if args.rank == 0: + os.makedirs(AUDIO_PATH, exist_ok=True) + new_fields = {} + if args.restore_path: + new_fields["restore_path"] = args.restore_path + new_fields["github_branch"] = get_git_branch() + copy_config_file(args.config_path, + os.path.join(OUT_PATH, 'config.json'), new_fields) + os.chmod(AUDIO_PATH, 0o775) + os.chmod(OUT_PATH, 0o775) + + LOG_DIR = OUT_PATH + tb_logger = TensorboardLogger(LOG_DIR, model_name='TTS') + + # write model desc to tensorboard + tb_logger.tb_add_text('model-description', c['run_description'], 0) + + try: + main(args) + except KeyboardInterrupt: + remove_experiment_folder(OUT_PATH) + try: + sys.exit(0) + except SystemExit: + os._exit(0) # pylint: disable=protected-access + except Exception: # pylint: disable=broad-except + remove_experiment_folder(OUT_PATH) + traceback.print_exc() + sys.exit(1) diff --git a/TTS/tts/configs/speedy_speech_ljspeech.json b/TTS/tts/configs/speedy_speech_ljspeech.json new file mode 100644 index 00000000..5d2fd260 --- /dev/null +++ b/TTS/tts/configs/speedy_speech_ljspeech.json @@ -0,0 +1,149 @@ +{ + "model": "speedy_speech", + "run_name": "speedy-speech-ljspeech", + "run_description": "speedy-speech model for LJSpeech dataset.", + + // AUDIO PARAMETERS + "audio":{ + // stft parameters + "fft_size": 1024, // number of stft frequency levels. Size of the linear spectogram frame. + "win_length": 1024, // stft window length in ms. + "hop_length": 256, // stft window hop-lengh in ms. + "frame_length_ms": null, // stft window length in ms.If null, 'win_length' is used. + "frame_shift_ms": null, // stft window hop-lengh in ms. If null, 'hop_length' is used. + + // Audio processing parameters + "sample_rate": 22050, // DATASET-RELATED: wav sample-rate. + "preemphasis": 0.0, // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis. + "ref_level_db": 20, // reference level db, theoretically 20db is the sound of air. + + // Silence trimming + "do_trim_silence": true,// enable trimming of slience of audio as you load it. LJspeech (true), TWEB (false), Nancy (true) + "trim_db": 60, // threshold for timming silence. Set this according to your dataset. + + // Griffin-Lim + "power": 1.5, // value to sharpen wav signals after GL algorithm. + "griffin_lim_iters": 60,// #griffin-lim iterations. 30-60 is a good range. Larger the value, slower the generation. + + // MelSpectrogram parameters + "num_mels": 80, // size of the mel spec frame. + "mel_fmin": 50.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!! + "mel_fmax": 7600.0, // maximum freq level for mel-spec. Tune for dataset!! + "spec_gain": 1, + + // Normalization parameters + "signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params. + "min_level_db": -100, // lower bound for normalization + "symmetric_norm": true, // move normalization to range [-1, 1] + "max_norm": 4.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm] + "clip_norm": true, // clip normalized values into the range. + "stats_path": "/home/erogol/Data/LJSpeech-1.1/scale_stats.npy" // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored + }, + + // VOCABULARY PARAMETERS + // if custom character set is not defined, + // default set in symbols.py is used + // "characters":{ + // "pad": "_", + // "eos": "&", + // "bos": "*", + // "characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZÇÃÀÁÂÊÉÍÓÔÕÚÛabcdefghijklmnopqrstuvwxyzçãàáâêéíóôõúû!(),-.:;? ", + // "punctuations":"!'(),-.:;? ", + // "phonemes":"iyɨʉɯuɪʏʊeøɘəɵɤoɛœɜɞʌɔæɐaɶɑɒᵻʘɓǀɗǃʄǂɠǁʛpbtdʈɖcɟkɡqɢʔɴŋɲɳnɱmʙrʀⱱɾɽɸβfvθðszʃʒʂʐçʝxɣχʁħʕhɦɬɮʋɹɻjɰlɭʎʟˈˌːˑʍwɥʜʢʡɕʑɺɧɚ˞ɫ'̃' " + // }, + + "add_blank": false, // if true add a new token after each token of the sentence. This increases the size of the input sequence, but has considerably improved the prosody of the GlowTTS model. + + // DISTRIBUTED TRAINING + "distributed":{ + "backend": "nccl", + "url": "tcp:\/\/localhost:54321" + }, + + "reinit_layers": [], // give a list of layer names to restore from the given checkpoint. If not defined, it reloads all heuristically matching layers. + + // MODEL PARAMETERS + "positional_encoding": true, + "encoder_type": "residual_conv_bn", + "encoder_params":{ + "kernel_size": 4, + "dilations": [1, 2, 4, 1, 2, 4, 1, 2, 4, 1, 2, 4, 1], + "num_conv_blocks": 2, + "num_res_blocks": 13 + }, + "decoder_residual_conv_bn_params":{ + "kernel_size": 4, + "dilations": [1, 2, 4, 8, 1, 2, 4, 8, 1, 2, 4, 8, 1, 2, 4, 8, 1], + "num_conv_blocks": 2, + "num_res_blocks": 17 + }, + + // TRAINING + "batch_size":64, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'. + "eval_batch_size":32, + "r": 1, // Number of decoder frames to predict per iteration. Set the initial values if gradual training is enabled. + "loss_masking": true, // enable / disable loss masking against the sequence padding. + + // LOSS PARAMETERS + "ssim_alpha": 1, + "l1_alpha": 1, + "huber_alpha": 1, + + // VALIDATION + "run_eval": true, + "test_delay_epochs": -1, //Until attention is aligned, testing only wastes computation time. + "test_sentences_file": null, // set a file to load sentences to be used for testing. If it is null then we use default english sentences. + + // OPTIMIZER + "noam_schedule": true, // use noam warmup and lr schedule. + "grad_clip": 1.0, // upper limit for gradients for clipping. + "epochs": 10000, // total number of epochs to train. + "lr": 0.002, // Initial learning rate. If Noam decay is active, maximum learning rate. + "warmup_steps": 4000, // Noam decay steps to increase the learning rate from 0 to "lr" + + // TENSORBOARD and LOGGING + "print_step": 25, // Number of steps to log training on console. + "tb_plot_step": 100, // Number of steps to plot TB training figures. + "print_eval": false, // If True, it prints intermediate loss values in evalulation. + "save_step": 5000, // Number of training steps expected to save traninpg stats and checkpoints. + "checkpoint": true, // If true, it saves checkpoints per "save_step" + "tb_model_param_stats": false, // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.:set n + "mixed_precision": false, + + // DATA LOADING + "text_cleaner": "english_cleaners", + "enable_eos_bos_chars": false, // enable/disable beginning of sentence and end of sentence chars. + "num_loader_workers": 8, // number of training data loader processes. Don't set it too big. 4-8 are good values. + "num_val_loader_workers": 8, // number of evaluation data loader processes. + "batch_group_size": 0, //Number of batches to shuffle after bucketing. + "min_seq_len": 2, // DATASET-RELATED: minimum text length to use in training + "max_seq_len": 300, // DATASET-RELATED: maximum text length + "compute_f0": false, // compute f0 values in data-loader + "compute_input_seq_cache": false, // if true, text sequences are computed before starting training. If phonemes are enabled, they are also computed at this stage. + + // PATHS + "output_path": "/home/erogol/Models/ljspeech/", + + // PHONEMES + "phoneme_cache_path": "/home/erogol/Models/ljspeech_phonemes/", // phoneme computation is slow, therefore, it caches results in the given folder. + "use_phonemes": true, // use phonemes instead of raw characters. It is suggested for better pronoun[ciation. + "phoneme_language": "en-us", // depending on your target language, pick one from https://github.com/bootphon/phonemizer#languages + + // MULTI-SPEAKER and GST + "use_speaker_embedding": false, // use speaker embedding to enable multi-speaker learning. + "use_external_speaker_embedding_file": false, // if true, forces the model to use external embedding per sample instead of nn.embeddings, that is, it supports external embeddings such as those used at: https://arxiv.org/abs /1806.04558 + "external_speaker_embedding_file": "/home/erogol/Data/libritts/speakers.json", // if not null and use_external_speaker_embedding_file is true, it is used to load a specific embedding file and thus uses these embeddings instead of nn.embeddings, that is, it supports external embeddings such as those used at: https://arxiv.org/abs /1806.04558 + + + // DATASETS + "datasets": // List of datasets. They all merged and they get different s$ + [ + { + "name": "ljspeech", + "path": "/home/erogol/Data/LJSpeech-1.1/", + "meta_file_train": "metadata.csv", + "meta_file_val": null, + "meta_file_attn_mask": "/home/erogol/Data/LJSpeech-1.1/metadata_attn_mask.txt" // created by bin/compute_attention_masks.py + } + ] +} \ No newline at end of file diff --git a/TTS/tts/layers/speedy_speech/__init__.py b/TTS/tts/layers/speedy_speech/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/TTS/tts/layers/speedy_speech/decoder.py b/TTS/tts/layers/speedy_speech/decoder.py new file mode 100644 index 00000000..f4f23840 --- /dev/null +++ b/TTS/tts/layers/speedy_speech/decoder.py @@ -0,0 +1,41 @@ +import torch +from torch import nn +from torch.nn import functional as F + +from TTS.tts.layers.glow_tts.transformer import Transformer +from TTS.tts.layers.glow_tts.glow import ConvLayerNorm +from TTS.tts.utils.generic_utils import sequence_mask +from TTS.tts.layers.generic.res_conv_bn import ResidualConvBNBlock, ConvBNBlock + + +class Decoder(nn.Module): + """Decodes the expanded phoneme encoding into spectrograms + Shapes: + - input: (B, C, T) + """ + # pylint: disable=dangerous-default-value + def __init__( + self, + out_channels, + hidden_channels, + residual_conv_bn_params={ + "kernel_size": 4, + "dilations": 4 * [1, 2, 4, 8] + [1], + "num_conv_blocks": 2, + "num_res_blocks": 17 + }): + super().__init__() + + self.decoder = ResidualConvBNBlock(hidden_channels, + **residual_conv_bn_params) + + self.post_conv = nn.Conv1d(hidden_channels, hidden_channels, 1) + self.post_net = nn.Sequential( + ConvBNBlock(hidden_channels, 4, 1, num_conv_blocks=2), + nn.Conv1d(hidden_channels, out_channels, 1), + ) + + def forward(self, x, x_mask, g=None): + o = self.decoder(x, x_mask) + o = self.post_conv(o) + x + return self.post_net(o) \ No newline at end of file diff --git a/TTS/tts/layers/speedy_speech/duration_predictor.py b/TTS/tts/layers/speedy_speech/duration_predictor.py new file mode 100644 index 00000000..9f83d94d --- /dev/null +++ b/TTS/tts/layers/speedy_speech/duration_predictor.py @@ -0,0 +1,27 @@ +from torch import nn + +from TTS.tts.layers.generic.res_conv_bn import ConvBN + + +class DurationPredictor(nn.Module): + """Predicts phoneme log durations based on the encoder outputs""" + def __init__(self, hidden_channels): + super().__init__() + + self.layers = nn.ModuleList([ + ConvBN(hidden_channels, 4, 1), + ConvBN(hidden_channels, 3, 1), + ConvBN(hidden_channels, 1, 1), + nn.Conv1d(hidden_channels, 1, 1) + ]) + + def forward(self, x, x_mask): + """Outputs interpreted as log(durations) + To get actual durations, do exp transformation + :param x: + :return: + """ + o = x + for layer in self.layers: + o = layer(o) * x_mask + return o diff --git a/TTS/tts/layers/speedy_speech/encoder.py b/TTS/tts/layers/speedy_speech/encoder.py new file mode 100644 index 00000000..0ec222f9 --- /dev/null +++ b/TTS/tts/layers/speedy_speech/encoder.py @@ -0,0 +1,153 @@ +import math +import torch +from torch import nn +from torch.nn import functional as F + +from TTS.tts.layers.glow_tts.transformer import Transformer +from TTS.tts.layers.glow_tts.glow import ConvLayerNorm +from TTS.tts.layers.generic.res_conv_bn import ResidualConvBNBlock + + +class PositionalEncoding(nn.Module): + """Sinusoidal positional encoding for non-recurrent neural networks. + Implementation based on "Attention Is All You Need" + Args: + dropout (float): dropout parameter + dim (int): embedding size + """ + + def __init__(self, dim, dropout=0.0, max_len=5000): + if dim % 2 != 0: + raise ValueError("Cannot use sin/cos positional encoding with " + "odd dim (got dim={:d})".format(dim)) + pe = torch.zeros(max_len, dim) + position = torch.arange(0, max_len).unsqueeze(1) + div_term = torch.exp((torch.arange(0, dim, 2, dtype=torch.float) * + -(math.log(10000.0) / dim))) + pe[:, 0::2] = torch.sin(position.float() * div_term) + pe[:, 1::2] = torch.cos(position.float() * div_term) + pe = pe.unsqueeze(0).transpose(1, 2) + super(PositionalEncoding, self).__init__() + self.register_buffer('pe', pe) + if dropout > 0: + self.dropout = nn.Dropout(p=dropout) + self.dim = dim + + def forward(self, x, step=None): + """Embed inputs. + Args: + x (FloatTensor): Sequence of word vectors + ``(seq_len, batch_size, self.dim)`` + step (int or NoneType): If stepwise (``seq_len = 1``), use + the encoding for this position. + + Shapes: + x: B x C x T + """ + + x = x * math.sqrt(self.dim) + if step is None: + if self.pe.size(2) < x.size(2): + raise RuntimeError( + f"Sequence is {x.size(2)} but PositionalEncoding is" + f" limited to {self.pe.size(2)}. See max_len argument." + ) + x = x + self.pe[:, : ,:x.size(2)] + else: + x = x + self.pe[:, :, step] + if hasattr(self, 'dropout'): + x = self.dropout(x) + return x + + +class Encoder(nn.Module): + # pylint: disable=dangerous-default-value + def __init__( + self, + hidden_channels, + out_channels, + encoder_type='residual_conv_bn', + encoder_params = { + "kernel_size": 4, + "dilations": 4 * [1, 2, 4] + [1], + "num_conv_blocks": 2, + "num_res_blocks": 13 + }, + c_in_channels=0): + """Speedy-Speech encoder using Transformers or Residual BN Convs internally. + + Args: + num_chars (int): number of characters. + out_channels (int): number of output channels. + hidden_channels (int): encoder's embedding size. + encoder_type (str): encoder layer types. 'transformers' or 'residual_conv_bn'. Default 'residual_conv_bn'. + encoder_params (dict): model parameters for specified encoder type. + c_in_channels (int): number of channels for conditional input. + + Note: + Default encoder_params... + + for 'transformer' + encoder_params={ + 'hidden_channels_ffn': 768, + 'num_heads': 2, + "kernel_size": 3, + "dropout_p": 0.1, + "num_layers": 6, + "rel_attn_window_size": 4, + "input_length": None + }, + + for 'residual_conv_bn' + encoder_params = { + "kernel_size": 4, + "dilations": 4 * [1, 2, 4] + [1], + "num_conv_blocks": 2, + "num_res_blocks": 13 + } + + Shapes: + - input: (B, C, T) + """ + super().__init__() + self.out_channels = out_channels + self.hidden_channels = hidden_channels + self.encoder_type = encoder_type + self.c_in_channels = c_in_channels + + # init encoder + if encoder_type.lower() == "transformer": + # optional convolutional prenet + self.pre = ConvLayerNorm(hidden_channels, + hidden_channels, + hidden_channels, + kernel_size=5, + num_layers=3, + dropout_p=0.5) + # text encoder + self.encoder = Transformer(hidden_channels, **encoder_params) + elif encoder_type.lower() == 'residual_conv_bn': + self.pre = nn.Sequential( + nn.Conv1d(hidden_channels, hidden_channels, 1), nn.ReLU()) + self.encoder = ResidualConvBNBlock(hidden_channels, + **encoder_params) + else: + raise NotImplementedError(' [!] encoder type not implemented.') + + # final projection layers + self.post_conv = nn.Conv1d(hidden_channels, hidden_channels, 1) + self.post_bn = nn.BatchNorm1d(hidden_channels) + self.post_conv2 = nn.Conv1d(hidden_channels, out_channels, 1) + + def forward(self, x, x_mask, g=None): + if self.encoder_type == 'transformer': + o = self.pre(x, x_mask) + else: + o = self.pre(x) * x_mask + o = self.encoder(o, x_mask) + o = self.post_conv(o + x) + o = self.post_bn(o) + o = F.relu(o) + o = self.post_conv2(o) + # [B, C, T] + return o * x_mask diff --git a/TTS/tts/models/speedy_speech.py b/TTS/tts/models/speedy_speech.py new file mode 100644 index 00000000..6ce96892 --- /dev/null +++ b/TTS/tts/models/speedy_speech.py @@ -0,0 +1,123 @@ +import torch +from torch import nn +from TTS.tts.layers.speedy_speech.decoder import Decoder +from TTS.tts.layers.speedy_speech.duration_predictor import DurationPredictor +from TTS.tts.layers.speedy_speech.encoder import Encoder, PositionalEncoding +from TTS.tts.utils.generic_utils import sequence_mask +from TTS.tts.layers.glow_tts.monotonic_align import generate_path + + +class SpeedySpeech(nn.Module): + def __init__( + self, + num_chars, + out_channels, + hidden_channels, + positional_encoding=True, + length_scale=1, + encoder_type='residual_conv_bn', + encoder_params={ + "kernel_size": 4, + "dilations": 4 * [1, 2, 4] + [1], + "num_conv_blocks": 2, + "num_res_blocks": 13 + }, + decoder_residual_conv_bn_params={ + "kernel_size": 4, + "dilations": 4 * [1, 2, 4, 8] + [1], + "num_conv_blocks": 2, + "num_res_blocks": 17 + }, + c_in_channels=0): + super().__init__() + self.length_scale = float(length_scale) if isinstance(length_scale, int) else length_scale + self.emb = nn.Embedding(num_chars, hidden_channels) + self.encoder = Encoder(hidden_channels, hidden_channels, encoder_type, + encoder_params, c_in_channels) + if positional_encoding: + self.pos_encoder = PositionalEncoding(hidden_channels) + self.decoder = Decoder(out_channels, hidden_channels, + decoder_residual_conv_bn_params) + self.duration_predictor = DurationPredictor(hidden_channels) + + def expand_encoder_outputs(self, en, dr, x_mask, y_mask): + attn_mask = torch.unsqueeze(x_mask, -1) * torch.unsqueeze(y_mask, 2) + attn = generate_path(dr, attn_mask.squeeze(1)).to(en.dtype) + o_en_ex = torch.matmul( + attn.squeeze(1).transpose(1, 2), en.transpose(1, + 2)).transpose(1, 2) + return o_en_ex, attn + + def format_durations(self, o_dr_log, x_mask): + o_dr = (torch.exp(o_dr_log) - 1) * x_mask * self.length_scale + o_dr[o_dr < 1] = 1.0 + o_dr = torch.round(o_dr) + return o_dr + + def forward(self, x, x_lengths, y_lengths, dr, g=None): + """ + docstring + """ + # [B, T, C] + x_emb = self.emb(x) + # [B, C, T] + x_emb = torch.transpose(x_emb, 1, -1) + + # compute sequence masks + x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.shape[1]), + 1).to(x.dtype) + + y_mask = torch.unsqueeze(sequence_mask(y_lengths, None), + 1).to(x_mask.dtype) + + # encoder pass + o_en = self.encoder(x_emb, x_mask) + + # duration predictor pass + o_dr_log = self.duration_predictor(o_en.detach(), x_mask) + + # expand o_en with durations + o_en_ex, attn = self.expand_encoder_outputs(o_en, dr, x_mask, y_mask) + + # positional encoding + if hasattr(self, 'pos_encoder'): + o_en_ex = self.pos_encoder(o_en_ex) + + # decoder pass + o_de = self.decoder(o_en_ex, y_mask) + + return o_de, o_dr_log.squeeze(1), attn.transpose(1, 2) + + def inference(self, x, x_lengths, g=None): + # pad input to prevent dropping the last word + x = torch.nn.functional.pad(x, pad=(0, 5), mode='constant', value=0) + + # [B, T, C] + x_emb = self.emb(x) + # [B, C, T] + x_emb = torch.transpose(x_emb, 1, -1) + + # compute sequence masks + x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.shape[1]), + 1).to(x.dtype) + # encoder pass + o_en = self.encoder(x_emb, x_mask) + + # duration predictor pass + o_dr_log = self.duration_predictor(o_en.detach(), x_mask) + o_dr = self.format_durations(o_dr_log, x_mask).squeeze(1) + + # output mask + y_mask = torch.unsqueeze(sequence_mask(o_dr.sum(1), None), 1).to(x_mask.dtype) + + # expand o_en with durations + o_en_ex, attn = self.expand_encoder_outputs(o_en, o_dr, x_mask, y_mask) + + # positional encoding + if hasattr(self, 'pos_encoder'): + o_en_ex = self.pos_encoder(o_en_ex) + + # decoder pass + o_de = self.decoder(o_en_ex, y_mask) + + return o_de, attn.transpose(1, 2) From 2abe3df1536ba956bc03a471716be3803f66e7c2 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 14:44:01 +0100 Subject: [PATCH 065/108] compute_attention_masks.py --- TTS/bin/compute_attention_masks.py | 170 +++++++++++++++++++++++++++++ 1 file changed, 170 insertions(+) create mode 100644 TTS/bin/compute_attention_masks.py diff --git a/TTS/bin/compute_attention_masks.py b/TTS/bin/compute_attention_masks.py new file mode 100644 index 00000000..554e4269 --- /dev/null +++ b/TTS/bin/compute_attention_masks.py @@ -0,0 +1,170 @@ +"""Compute attention masks from pre-trained Tacotron or Tacotron2 models. +Sample run on LJSpeech dataset. + + >>>> CUDA_VISIBLE_DEVICES="0" python TTS/bin/compute_attention_masks.py \ + --model_path /home/erogol/Cluster/ljspeech-dcattn-December-14-2020_11+10AM-9d0e8c7/checkpoint_100000.pth.tar \ + --config_path /home/erogol/Cluster/ljspeech-dcattn-December-14-2020_11+10AM-9d0e8c7/config.json --dataset ljspeech \ + --dataset_metafile /home/erogol/Data/LJSpeech-1.1/metadata.csv \ + --data_path /home/erogol/Data/LJSpeech-1.1/ \ + --batch_size 16 \ + --use_cuda true + +""" + + +import argparse +import glob +import importlib +import os + +import numpy as np +import torch +from torch.utils.data import DataLoader +from tqdm import tqdm +from TTS.tts.datasets.TTSDataset import MyDataset +from TTS.tts.utils.generic_utils import sequence_mask, setup_model +from TTS.tts.utils.io import load_checkpoint +from TTS.tts.utils.text.symbols import make_symbols, phonemes, symbols +from TTS.utils.audio import AudioProcessor +from TTS.utils.io import load_config + + +if __name__ == '__main__': + parser = argparse.ArgumentParser( + description='Extract attention masks from trained Tacotron models.') + parser.add_argument('--model_path', + type=str, + help='Path to Tacotron or Tacotron2 model file ') + parser.add_argument( + '--config_path', + type=str, + required=True, + help='Path to config file for training.', + ) + parser.add_argument('--dataset', + type=str, + default='', + help='Dataset from TTS.tts.dataset.preprocess.') + + parser.add_argument( + '--dataset_metafile', + type=str, + default='', + help='Dataset metafile inclusing file paths with transcripts.') + parser.add_argument( + '--data_path', + type=str, + default='', + help='Defines the data path. It overwrites config.json.') + parser.add_argument('--output_path', + type=str, + help='path for training outputs.', + default='') + parser.add_argument('--output_folder', + type=str, + default='', + help='folder name for training outputs.') + + parser.add_argument('--use_cuda', + type=bool, + default=False, + help="enable/disable cuda.") + + parser.add_argument( + '--batch_size', + default=16, + type=int, + help='Batch size for the model. Use batch_size=1 if you have no CUDA.') + args = parser.parse_args() + + C = load_config(args.config_path) + ap = AudioProcessor(**C.audio) + + # if the vocabulary was passed, replace the default + if 'characters' in C.keys(): + symbols, phonemes = make_symbols(**C.characters) + + # load the model + num_chars = len(phonemes) if C.use_phonemes else len(symbols) + # TODO: handle multi-speaker + model = setup_model(num_chars, num_speakers=0, c=C) + model, _ = load_checkpoint(model, args.model_path, None, args.use_cuda) + model.eval() + + # data loader + preprocessor = importlib.import_module('TTS.tts.datasets.preprocess') + preprocessor = getattr(preprocessor, args.dataset) + meta_data = preprocessor(args.data_path, args.dataset_metafile) + dataset = MyDataset(model.decoder.r, + C.text_cleaner, + compute_linear_spec=False, + ap=ap, + meta_data=meta_data, + tp=C.characters if 'characters' in C.keys() else None, + add_blank=c['add_blank'] if 'add_blank' in C.keys() else False, + use_phonemes=C.use_phonemes, + phoneme_cache_path=C.phoneme_cache_path, + phoneme_language=C.phoneme_language, + enable_eos_bos=C.enable_eos_bos_chars) + + dataset.sort_items() + loader = DataLoader(dataset, + batch_size=args.batch_size, + num_workers=4, + collate_fn=dataset.collate_fn, + shuffle=False, + drop_last=False) + + # compute attentions + file_paths = [] + with torch.no_grad(): + for data in tqdm(loader): + # setup input data + text_input = data[0] + text_lengths = data[1] + linear_input = data[3] + mel_input = data[4] + mel_lengths = data[5] + stop_targets = data[6] + item_idxs = data[7] + + # dispatch data to GPU + if args.use_cuda: + text_input = text_input.cuda() + text_lengths = text_lengths.cuda() + mel_input = mel_input.cuda() + mel_lengths = mel_lengths.cuda() + + mel_outputs, postnet_outputs, alignments, stop_tokens = model.forward( + text_input, text_lengths, mel_input) + + alignments = alignments.detach() + for idx, alignment in enumerate(alignments): + item_idx = item_idxs[idx] + # interpolate if r > 1 + alignment = torch.nn.functional.interpolate( + alignment.transpose(0, 1).unsqueeze(0), + size=None, + scale_factor=model.decoder.r, + mode='nearest', + align_corners=None, + recompute_scale_factor=None).squeeze(0).transpose(0, 1) + + # remove paddings + alignment = alignment[:mel_lengths[idx], :text_lengths[idx]].cpu().numpy() + + # set file paths + wav_file_name = os.path.basename(item_idx) + align_file_name = os.path.splitext(wav_file_name)[0] + '.npy' + file_path = item_idx.replace(wav_file_name, align_file_name) + # save output + file_paths.append([item_idx, file_path]) + np.save(file_path, alignment) + + # ourpur metafile + metafile = os.path.join(args.data_path, "metadata_attn_mask.txt") + + with open(metafile, "w") as f: + for p in file_paths: + f.write(f"{p[0]}|{p[1]}\n") + print(f" >> Metafile created: {metafile}") From fede46e96e4a0f9e7d919c0e869b3c06339cf4b8 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 17:52:55 +0100 Subject: [PATCH 066/108] pylint and test fixes --- TTS/bin/compute_attention_masks.py | 5 +- TTS/bin/train_speedy_speech.py | 4 +- TTS/tts/layers/common_layers.py | 4 +- TTS/tts/layers/generic/res_conv_bn.py | 10 +- TTS/tts/layers/glow_tts/encoder.py | 2 + TTS/tts/layers/losses.py | 1 + TTS/tts/layers/speedy_speech/decoder.py | 13 +-- TTS/tts/layers/speedy_speech/encoder.py | 7 +- TTS/tts/models/speedy_speech.py | 13 ++- TTS/tts/utils/generic_utils.py | 1 - tests/inputs/test_glow_tts.json | 2 +- tests/inputs/test_speedy_speech.json | 149 ++++++++++++++++++++++++ tests/test_glow_tts.py | 10 +- tests/test_speedy_speech_layers.py | 98 ++++++++++++++++ 14 files changed, 282 insertions(+), 37 deletions(-) create mode 100644 tests/inputs/test_speedy_speech.json create mode 100644 tests/test_speedy_speech_layers.py diff --git a/TTS/bin/compute_attention_masks.py b/TTS/bin/compute_attention_masks.py index 554e4269..4d5b426b 100644 --- a/TTS/bin/compute_attention_masks.py +++ b/TTS/bin/compute_attention_masks.py @@ -13,7 +13,6 @@ Sample run on LJSpeech dataset. import argparse -import glob import importlib import os @@ -22,7 +21,7 @@ import torch from torch.utils.data import DataLoader from tqdm import tqdm from TTS.tts.datasets.TTSDataset import MyDataset -from TTS.tts.utils.generic_utils import sequence_mask, setup_model +from TTS.tts.utils.generic_utils import setup_model from TTS.tts.utils.io import load_checkpoint from TTS.tts.utils.text.symbols import make_symbols, phonemes, symbols from TTS.utils.audio import AudioProcessor @@ -101,7 +100,7 @@ if __name__ == '__main__': ap=ap, meta_data=meta_data, tp=C.characters if 'characters' in C.keys() else None, - add_blank=c['add_blank'] if 'add_blank' in C.keys() else False, + add_blank=C['add_blank'] if 'add_blank' in C.keys() else False, use_phonemes=C.use_phonemes, phoneme_cache_path=C.phoneme_cache_path, phoneme_language=C.phoneme_language, diff --git a/TTS/bin/train_speedy_speech.py b/TTS/bin/train_speedy_speech.py index 39466ffd..d66ad268 100644 --- a/TTS/bin/train_speedy_speech.py +++ b/TTS/bin/train_speedy_speech.py @@ -155,7 +155,7 @@ def train(data_loader, model, criterion, optimizer, scheduler, # format data text_input, text_lengths, mel_targets, mel_lengths, speaker_c,\ - avg_text_length, avg_spec_length, attn_mask, dur_target, item_idx = format_data(data) + avg_text_length, avg_spec_length, _, dur_target, _ = format_data(data) loader_time = time.time() - end_time @@ -302,7 +302,7 @@ def evaluate(data_loader, model, criterion, ap, global_step, epoch): # format data text_input, text_lengths, mel_targets, mel_lengths, speaker_c,\ - avg_text_length, avg_spec_length, attn_mask, dur_target, item_idx = format_data(data) + _, _, _, dur_target, _ = format_data(data) # forward pass model with torch.cuda.amp.autocast(enabled=c.mixed_precision): diff --git a/TTS/tts/layers/common_layers.py b/TTS/tts/layers/common_layers.py index c242a89a..615f766e 100644 --- a/TTS/tts/layers/common_layers.py +++ b/TTS/tts/layers/common_layers.py @@ -379,7 +379,7 @@ class MonotonicDynamicConvolutionAttention(nn.Module): def __init__( self, query_dim, - embedding_dim, + embedding_dim, # pylint: disable=unused-argument attention_dim, static_filter_dim, static_kernel_size, @@ -447,7 +447,7 @@ class MonotonicDynamicConvolutionAttention(nn.Module): context = torch.bmm(attention_weights.unsqueeze(1), inputs).squeeze(1) return context - def preprocess_inputs(self, inputs): + def preprocess_inputs(self, inputs): # pylint: disable=no-self-use return None def init_states(self, inputs): diff --git a/TTS/tts/layers/generic/res_conv_bn.py b/TTS/tts/layers/generic/res_conv_bn.py index f67a8613..daffd7e2 100644 --- a/TTS/tts/layers/generic/res_conv_bn.py +++ b/TTS/tts/layers/generic/res_conv_bn.py @@ -1,15 +1,17 @@ -import torch from torch import nn -from .normalization import TemporalBatchNorm1d -class ZeroTemporalPad(nn.ZeroPad2d): +class ZeroTemporalPad(nn.Module): """Pad sequences to equal lentgh in the temporal dimension""" def __init__(self, kernel_size, dilation): + super().__init__() total_pad = (dilation * (kernel_size - 1)) begin = total_pad // 2 end = total_pad - begin - super(ZeroTemporalPad, self).__init__((0, 0, begin, end)) + self.pad_layer = nn.ZeroPad2d((0, 0, begin, end)) + + def forward(self, x): + return self.pad_layer(x) class ConvBN(nn.Module): diff --git a/TTS/tts/layers/glow_tts/encoder.py b/TTS/tts/layers/glow_tts/encoder.py index b57370fe..cdda5723 100644 --- a/TTS/tts/layers/glow_tts/encoder.py +++ b/TTS/tts/layers/glow_tts/encoder.py @@ -116,6 +116,8 @@ class Encoder(nn.Module): hidden_channels, kernel_size=5, num_layers=3 + num_layers) + else: + raise ValueError(" [!] Unkown encoder type.") # final projection layers self.proj_m = nn.Conv1d(hidden_channels, out_channels, 1) diff --git a/TTS/tts/layers/losses.py b/TTS/tts/layers/losses.py index 8f0d33c8..ef68d1d0 100644 --- a/TTS/tts/layers/losses.py +++ b/TTS/tts/layers/losses.py @@ -241,6 +241,7 @@ class GuidedAttentionLoss(torch.nn.Module): class Huber(nn.Module): + # pylint: disable=R0201 def forward(self, x, y, length=None): """ Shapes: diff --git a/TTS/tts/layers/speedy_speech/decoder.py b/TTS/tts/layers/speedy_speech/decoder.py index f4f23840..9ef2215d 100644 --- a/TTS/tts/layers/speedy_speech/decoder.py +++ b/TTS/tts/layers/speedy_speech/decoder.py @@ -1,11 +1,5 @@ -import torch from torch import nn -from torch.nn import functional as F - -from TTS.tts.layers.glow_tts.transformer import Transformer -from TTS.tts.layers.glow_tts.glow import ConvLayerNorm -from TTS.tts.utils.generic_utils import sequence_mask -from TTS.tts.layers.generic.res_conv_bn import ResidualConvBNBlock, ConvBNBlock +from TTS.tts.layers.generic.res_conv_bn import ConvBNBlock, ResidualConvBNBlock class Decoder(nn.Module): @@ -35,7 +29,8 @@ class Decoder(nn.Module): nn.Conv1d(hidden_channels, out_channels, 1), ) - def forward(self, x, x_mask, g=None): + def forward(self, x, x_mask, g=None): # pylint: disable=unused-argument + # TODO: implement multi-speaker o = self.decoder(x, x_mask) o = self.post_conv(o) + x - return self.post_net(o) \ No newline at end of file + return self.post_net(o) diff --git a/TTS/tts/layers/speedy_speech/encoder.py b/TTS/tts/layers/speedy_speech/encoder.py index 0ec222f9..8f238812 100644 --- a/TTS/tts/layers/speedy_speech/encoder.py +++ b/TTS/tts/layers/speedy_speech/encoder.py @@ -17,6 +17,7 @@ class PositionalEncoding(nn.Module): """ def __init__(self, dim, dropout=0.0, max_len=5000): + super().__init__() if dim % 2 != 0: raise ValueError("Cannot use sin/cos positional encoding with " "odd dim (got dim={:d})".format(dim)) @@ -27,7 +28,6 @@ class PositionalEncoding(nn.Module): pe[:, 0::2] = torch.sin(position.float() * div_term) pe[:, 1::2] = torch.cos(position.float() * div_term) pe = pe.unsqueeze(0).transpose(1, 2) - super(PositionalEncoding, self).__init__() self.register_buffer('pe', pe) if dropout > 0: self.dropout = nn.Dropout(p=dropout) @@ -125,7 +125,7 @@ class Encoder(nn.Module): num_layers=3, dropout_p=0.5) # text encoder - self.encoder = Transformer(hidden_channels, **encoder_params) + self.encoder = Transformer(hidden_channels, **encoder_params) # pylint: disable=unexpected-keyword-arg elif encoder_type.lower() == 'residual_conv_bn': self.pre = nn.Sequential( nn.Conv1d(hidden_channels, hidden_channels, 1), nn.ReLU()) @@ -139,7 +139,8 @@ class Encoder(nn.Module): self.post_bn = nn.BatchNorm1d(hidden_channels) self.post_conv2 = nn.Conv1d(hidden_channels, out_channels, 1) - def forward(self, x, x_mask, g=None): + def forward(self, x, x_mask, g=None): # pylint: disable=unused-argument + # TODO: implement multi-speaker if self.encoder_type == 'transformer': o = self.pre(x, x_mask) else: diff --git a/TTS/tts/models/speedy_speech.py b/TTS/tts/models/speedy_speech.py index 6ce96892..57108e14 100644 --- a/TTS/tts/models/speedy_speech.py +++ b/TTS/tts/models/speedy_speech.py @@ -8,6 +8,7 @@ from TTS.tts.layers.glow_tts.monotonic_align import generate_path class SpeedySpeech(nn.Module): + # pylint: disable=dangerous-default-value def __init__( self, num_chars, @@ -40,7 +41,8 @@ class SpeedySpeech(nn.Module): decoder_residual_conv_bn_params) self.duration_predictor = DurationPredictor(hidden_channels) - def expand_encoder_outputs(self, en, dr, x_mask, y_mask): + @staticmethod + def expand_encoder_outputs(en, dr, x_mask, y_mask): attn_mask = torch.unsqueeze(x_mask, -1) * torch.unsqueeze(y_mask, 2) attn = generate_path(dr, attn_mask.squeeze(1)).to(en.dtype) o_en_ex = torch.matmul( @@ -54,10 +56,8 @@ class SpeedySpeech(nn.Module): o_dr = torch.round(o_dr) return o_dr - def forward(self, x, x_lengths, y_lengths, dr, g=None): - """ - docstring - """ + def forward(self, x, x_lengths, y_lengths, dr, g=None): # pylint: disable=unused-argument + # TODO: multi-speaker # [B, T, C] x_emb = self.emb(x) # [B, C, T] @@ -88,7 +88,8 @@ class SpeedySpeech(nn.Module): return o_de, o_dr_log.squeeze(1), attn.transpose(1, 2) - def inference(self, x, x_lengths, g=None): + def inference(self, x, x_lengths, g=None): # pylint: disable=unused-argument + # TODO: multi-speaker # pad input to prevent dropping the last word x = torch.nn.functional.pad(x, pad=(0, 5), mode='constant', value=0) diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 7758ce08..d4e321e4 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -107,7 +107,6 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): hidden_channels_ffn=768, hidden_channels_dp=256, out_channels=c.audio['num_mels'], - kernel_size=3, num_heads=2, num_layers_enc=6, encoder_type=c.encoder_type, diff --git a/tests/inputs/test_glow_tts.json b/tests/inputs/test_glow_tts.json index 99f9eaf9..eb1a9ac4 100644 --- a/tests/inputs/test_glow_tts.json +++ b/tests/inputs/test_glow_tts.json @@ -86,7 +86,7 @@ "warmup_steps": 4000, // Noam decay steps to increase the learning rate from 0 to "lr" "seq_len_norm": false, // Normalize eash sample loss with its length to alleviate imbalanced datasets. Use it if your dataset is small or has skewed distribution of sequence lengths. - "encoder_type": "gatedconv", + "encoder_type": "transformer", // TENSORBOARD and LOGGING "print_step": 25, // Number of steps to log training on console. diff --git a/tests/inputs/test_speedy_speech.json b/tests/inputs/test_speedy_speech.json new file mode 100644 index 00000000..40c2d5d9 --- /dev/null +++ b/tests/inputs/test_speedy_speech.json @@ -0,0 +1,149 @@ +{ + "model": "speedy_speech", + "run_name": "test_sample_dataset_run", + "run_description": "sample dataset test run", + + // AUDIO PARAMETERS + "audio":{ + // stft parameters + "fft_size": 1024, // number of stft frequency levels. Size of the linear spectogram frame. + "win_length": 1024, // stft window length in ms. + "hop_length": 256, // stft window hop-lengh in ms. + "frame_length_ms": null, // stft window length in ms.If null, 'win_length' is used. + "frame_shift_ms": null, // stft window hop-lengh in ms. If null, 'hop_length' is used. + + // Audio processing parameters + "sample_rate": 22050, // DATASET-RELATED: wav sample-rate. + "preemphasis": 0.0, // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis. + "ref_level_db": 20, // reference level db, theoretically 20db is the sound of air. + + // Silence trimming + "do_trim_silence": true,// enable trimming of slience of audio as you load it. LJspeech (true), TWEB (false), Nancy (true) + "trim_db": 60, // threshold for timming silence. Set this according to your dataset. + + // Griffin-Lim + "power": 1.5, // value to sharpen wav signals after GL algorithm. + "griffin_lim_iters": 60,// #griffin-lim iterations. 30-60 is a good range. Larger the value, slower the generation. + + // MelSpectrogram parameters + "num_mels": 80, // size of the mel spec frame. + "mel_fmin": 50.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!! + "mel_fmax": 7600.0, // maximum freq level for mel-spec. Tune for dataset!! + "spec_gain": 1, + + // Normalization parameters + "signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params. + "min_level_db": -100, // lower bound for normalization + "symmetric_norm": true, // move normalization to range [-1, 1] + "max_norm": 4.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm] + "clip_norm": true, // clip normalized values into the range. + "stats_path": "/home/erogol/Data/LJSpeech-1.1/scale_stats.npy" // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored + }, + + // VOCABULARY PARAMETERS + // if custom character set is not defined, + // default set in symbols.py is used + // "characters":{ + // "pad": "_", + // "eos": "&", + // "bos": "*", + // "characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZÇÃÀÁÂÊÉÍÓÔÕÚÛabcdefghijklmnopqrstuvwxyzçãàáâêéíóôõúû!(),-.:;? ", + // "punctuations":"!'(),-.:;? ", + // "phonemes":"iyɨʉɯuɪʏʊeøɘəɵɤoɛœɜɞʌɔæɐaɶɑɒᵻʘɓǀɗǃʄǂɠǁʛpbtdʈɖcɟkɡqɢʔɴŋɲɳnɱmʙrʀⱱɾɽɸβfvθðszʃʒʂʐçʝxɣχʁħʕhɦɬɮʋɹɻjɰlɭʎʟˈˌːˑʍwɥʜʢʡɕʑɺɧɚ˞ɫ'̃' " + // }, + + "add_blank": false, // if true add a new token after each token of the sentence. This increases the size of the input sequence, but has considerably improved the prosody of the GlowTTS model. + + // DISTRIBUTED TRAINING + "distributed":{ + "backend": "nccl", + "url": "tcp:\/\/localhost:54321" + }, + + "reinit_layers": [], // give a list of layer names to restore from the given checkpoint. If not defined, it reloads all heuristically matching layers. + + // MODEL PARAMETERS + "positional_encoding": true, + "encoder_type": "residual_conv_bn", + "encoder_params":{ + "kernel_size": 4, + "dilations": [1, 2, 4, 1, 2, 4, 1, 2, 4, 1, 2, 4, 1], + "num_conv_blocks": 2, + "num_res_blocks": 13 + }, + "decoder_residual_conv_bn_params":{ + "kernel_size": 4, + "dilations": [1, 2, 4, 8, 1, 2, 4, 8, 1, 2, 4, 8, 1, 2, 4, 8, 1], + "num_conv_blocks": 2, + "num_res_blocks": 17 + }, + + // TRAINING + "batch_size":64, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'. + "eval_batch_size":32, + "r": 1, // Number of decoder frames to predict per iteration. Set the initial values if gradual training is enabled. + "loss_masking": true, // enable / disable loss masking against the sequence padding. + + // LOSS PARAMETERS + "ssim_alpha": 1, + "l1_alpha": 1, + "huber_alpha": 1, + + // VALIDATION + "run_eval": true, + "test_delay_epochs": -1, //Until attention is aligned, testing only wastes computation time. + "test_sentences_file": null, // set a file to load sentences to be used for testing. If it is null then we use default english sentences. + + // OPTIMIZER + "noam_schedule": true, // use noam warmup and lr schedule. + "grad_clip": 1.0, // upper limit for gradients for clipping. + "epochs": 1, // total number of epochs to train. + "lr": 0.002, // Initial learning rate. If Noam decay is active, maximum learning rate. + "warmup_steps": 4000, // Noam decay steps to increase the learning rate from 0 to "lr" + + // TENSORBOARD and LOGGING + "print_step": 1, // Number of steps to log training on console. + "tb_plot_step": 100, // Number of steps to plot TB training figures. + "print_eval": false, // If True, it prints intermediate loss values in evalulation. + "save_step": 5000, // Number of training steps expected to save traninpg stats and checkpoints. + "checkpoint": true, // If true, it saves checkpoints per "save_step" + "tb_model_param_stats": false, // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.:set n + "mixed_precision": false, + + // DATA LOADING + "text_cleaner": "english_cleaners", + "enable_eos_bos_chars": false, // enable/disable beginning of sentence and end of sentence chars. + "num_loader_workers": 0, // number of training data loader processes. Don't set it too big. 4-8 are good values. + "num_val_loader_workers": 0, // number of evaluation data loader processes. + "batch_group_size": 0, //Number of batches to shuffle after bucketing. + "min_seq_len": 2, // DATASET-RELATED: minimum text length to use in training + "max_seq_len": 300, // DATASET-RELATED: maximum text length + "compute_f0": false, // compute f0 values in data-loader + "compute_input_seq_cache": false, // if true, text sequences are computed before starting training. If phonemes are enabled, they are also computed at this stage. + + // PATHS + "output_path": "tests/train_outputs/", + + // PHONEMES + "phoneme_cache_path": "tests/train_outputs/phoneme_cache/", // phoneme computation is slow, therefore, it caches results in the given folder. + "use_phonemes": true, // use phonemes instead of raw characters. It is suggested for better pronoun[ciation. + "phoneme_language": "en-us", // depending on your target language, pick one from https://github.com/bootphon/phonemizer#languages + + // MULTI-SPEAKER and GST + "use_speaker_embedding": false, // use speaker embedding to enable multi-speaker learning. + "use_external_speaker_embedding_file": false, // if true, forces the model to use external embedding per sample instead of nn.embeddings, that is, it supports external embeddings such as those used at: https://arxiv.org/abs /1806.04558 + "external_speaker_embedding_file": "/home/erogol/Data/libritts/speakers.json", // if not null and use_external_speaker_embedding_file is true, it is used to load a specific embedding file and thus uses these embeddings instead of nn.embeddings, that is, it supports external embeddings such as those used at: https://arxiv.org/abs /1806.04558 + + + // DATASETS + "datasets": // List of datasets. They all merged and they get different speaker_ids. + [ + { + "name": "ljspeech", + "path": "tests/data/ljspeech/", + "meta_file_train": "metadata.csv", + "meta_file_val": "metadata.csv", + "meta_file_attn_mask": "tests/data/ljspeech/metadata_attn_mask.txt" + } + ] +} \ No newline at end of file diff --git a/tests/test_glow_tts.py b/tests/test_glow_tts.py index f625e943..2b365d67 100644 --- a/tests/test_glow_tts.py +++ b/tests/test_glow_tts.py @@ -44,10 +44,9 @@ class GlowTTSTrainTest(unittest.TestCase): # model to train model = GlowTts(num_chars=32, hidden_channels=128, - filter_channels=32, - filter_channels_dp=32, + hidden_channels_ffn=32, + hidden_channels_dp=32, out_channels=80, - kernel_size=3, num_heads=2, num_layers_enc=6, dropout_p=0.1, @@ -72,10 +71,9 @@ class GlowTTSTrainTest(unittest.TestCase): # reference model to compare model weights model_ref = GlowTts(num_chars=32, hidden_channels=128, - filter_channels=32, - filter_channels_dp=32, + hidden_channels_ffn=32, + hidden_channels_dp=32, out_channels=80, - kernel_size=3, num_heads=2, num_layers_enc=6, dropout_p=0.1, diff --git a/tests/test_speedy_speech_layers.py b/tests/test_speedy_speech_layers.py new file mode 100644 index 00000000..b9787009 --- /dev/null +++ b/tests/test_speedy_speech_layers.py @@ -0,0 +1,98 @@ +import torch + +from TTS.tts.layers.speedy_speech.encoder import Encoder +from TTS.tts.layers.speedy_speech.decoder import Decoder +from TTS.tts.layers.speedy_speech.duration_predictor import DurationPredictor +from TTS.tts.utils.generic_utils import sequence_mask +from TTS.tts.models.speedy_speech import SpeedySpeech + + +use_cuda = torch.cuda.is_available() +device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") + + +def test_encoder(): + input_dummy = torch.rand(8, 14, 37).to(device) + input_lengths = torch.randint(31, 37, (8, )).long().to(device) + input_lengths[-1] = 37 + input_mask = torch.unsqueeze(sequence_mask(input_lengths, input_dummy.size(2)), + 1).to(device) + + # residual bn conv encoder + layer = Encoder(out_channels=11, + hidden_channels=14, + encoder_type='residual_conv_bn').to(device) + output = layer(input_dummy, input_mask) + assert list(output.shape)==[8, 11, 37] + + # transformer encoder + layer = Encoder(out_channels=11, + hidden_channels=14, + encoder_type='transformer', + encoder_params={ + 'hidden_channels_ffn': 768, + 'num_heads': 2, + "kernel_size": 3, + "dropout_p": 0.1, + "num_layers": 6, + "rel_attn_window_size": 4, + "input_length": None + }).to(device) + output = layer(input_dummy, input_mask) + assert list(output.shape)==[8, 11, 37] + + +def test_decoder(): + input_dummy = torch.rand(8, 128, 37).to(device) + input_lengths = torch.randint(31, 37, (8, )).long().to(device) + input_lengths[-1] = 37 + + input_mask = torch.unsqueeze(sequence_mask(input_lengths, input_dummy.size(2)), 1).to(device) + + layer = Decoder(out_channels=11, hidden_channels=128).to(device) + output = layer(input_dummy, input_mask) + assert list(output.shape) == [8, 11, 37] + + +def test_duration_predictor(): + input_dummy = torch.rand(8, 128, 27).to(device) + input_lengths = torch.randint(20, 27, (8, )).long().to(device) + input_lengths[-1] = 27 + + x_mask = torch.unsqueeze(sequence_mask(input_lengths, input_dummy.size(2)), 1).to(device) + + layer = DurationPredictor(hidden_channels=128).to(device) + + output = layer(input_dummy, x_mask) + assert list(output.shape)==[8, 1, 27] + + +def test_speedy_speech(): + num_chars = 7 + B = 8 + T_en = 37 + T_de = 74 + + x_dummy = torch.randint(0, 7, (B, T_en)).long().to(device) + x_lengths = torch.randint(31, T_en, (B, )).long().to(device) + x_lengths[-1] = T_en + + # set durations. max total duration should be equal to T_de + durations = torch.randint(1, 4, (B, T_en)) + durations = durations * (T_de / durations.sum(1)).unsqueeze(1) + durations = durations.to(torch.long).to(device) + max_dur = durations.sum(1).max() + durations[:, 0] += T_de - max_dur if T_de > max_dur else 0 + + y_lengths = durations.sum(1) + + model = SpeedySpeech(num_chars, out_channels=80, hidden_channels=128) + if use_cuda: + model.cuda() + + # forward pass + o_de, o_dr, attn = model(x_dummy, x_lengths, y_lengths, durations) + + assert list(o_de.shape) == [B, 80, T_de], f"{list(o_de.shape)}" + assert list(attn.shape) == [B, T_de, T_en] + assert list(o_dr.shape) == [B, T_en] \ No newline at end of file From 7c95b11fe8b9df7fa3456030cbb85048a016a3a2 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 28 Dec 2020 17:53:38 +0100 Subject: [PATCH 067/108] add test data for attention masking in SS --- tests/data/ljspeech/metadata_attn_mask.txt | 13100 +++++++++++++++++++ tests/data/ljspeech/wavs/LJ001-0001.npy | Bin 0 -> 474888 bytes tests/data/ljspeech/wavs/LJ001-0002.npy | Bin 0 -> 18920 bytes tests/data/ljspeech/wavs/LJ001-0003.npy | Bin 0 -> 475460 bytes tests/data/ljspeech/wavs/LJ001-0004.npy | Bin 0 -> 137720 bytes tests/data/ljspeech/wavs/LJ001-0005.npy | Bin 0 -> 365356 bytes 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changed, 15 insertions(+), 8 deletions(-) diff --git a/TTS/tts/configs/speedy_speech_ljspeech.json b/TTS/tts/configs/speedy_speech_ljspeech.json index 5d2fd260..394c7005 100644 --- a/TTS/tts/configs/speedy_speech_ljspeech.json +++ b/TTS/tts/configs/speedy_speech_ljspeech.json @@ -115,7 +115,7 @@ "enable_eos_bos_chars": false, // enable/disable beginning of sentence and end of sentence chars. "num_loader_workers": 8, // number of training data loader processes. Don't set it too big. 4-8 are good values. "num_val_loader_workers": 8, // number of evaluation data loader processes. - "batch_group_size": 0, //Number of batches to shuffle after bucketing. + "batch_group_size": 4, //Number of batches to shuffle after bucketing. "min_seq_len": 2, // DATASET-RELATED: minimum text length to use in training "max_seq_len": 300, // DATASET-RELATED: maximum text length "compute_f0": false, // compute f0 values in data-loader diff --git a/TTS/tts/layers/speedy_speech/encoder.py b/TTS/tts/layers/speedy_speech/encoder.py index 8f238812..d88db8b7 100644 --- a/TTS/tts/layers/speedy_speech/encoder.py +++ b/TTS/tts/layers/speedy_speech/encoder.py @@ -33,28 +33,35 @@ class PositionalEncoding(nn.Module): self.dropout = nn.Dropout(p=dropout) self.dim = dim - def forward(self, x, step=None): + def forward(self, x, mask=None, first_idx=None, last_idx=None): """Embed inputs. Args: x (FloatTensor): Sequence of word vectors ``(seq_len, batch_size, self.dim)`` - step (int or NoneType): If stepwise (``seq_len = 1``), use - the encoding for this position. + mask (FloatTensor): Sequence mask. + first_idx (int or NoneType): starting index for taking a + certain part of the embeddings. + last_idx (int or NoneType): ending index for taking a + certain part of the embeddings. Shapes: x: B x C x T """ x = x * math.sqrt(self.dim) - if step is None: + if first_idx is None: if self.pe.size(2) < x.size(2): raise RuntimeError( f"Sequence is {x.size(2)} but PositionalEncoding is" f" limited to {self.pe.size(2)}. See max_len argument." ) - x = x + self.pe[:, : ,:x.size(2)] + if mask is not None: + pos_enc = (self.pe[:, : ,:x.size(2)] * mask) + else: + pos_enc = self.pe[:, :, :x.size(2)] + x = x + pos_enc else: - x = x + self.pe[:, :, step] + x = x + self.pe[:, :, first_idx:last_idx] if hasattr(self, 'dropout'): x = self.dropout(x) return x diff --git a/TTS/tts/models/speedy_speech.py b/TTS/tts/models/speedy_speech.py index 57108e14..ac692be5 100644 --- a/TTS/tts/models/speedy_speech.py +++ b/TTS/tts/models/speedy_speech.py @@ -81,7 +81,7 @@ class SpeedySpeech(nn.Module): # positional encoding if hasattr(self, 'pos_encoder'): - o_en_ex = self.pos_encoder(o_en_ex) + o_en_ex = self.pos_encoder(o_en_ex, y_mask) # decoder pass o_de = self.decoder(o_en_ex, y_mask) From 3fa408a5eaf259ba562506a0a903ea52ba407207 Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 29 Dec 2020 15:25:41 +0100 Subject: [PATCH 069/108] change order BN + ReLU to ReLU + BN for SS --- TTS/tts/layers/generic/res_conv_bn.py | 2 +- TTS/tts/layers/speedy_speech/decoder.py | 4 ++-- TTS/tts/layers/speedy_speech/encoder.py | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/TTS/tts/layers/generic/res_conv_bn.py b/TTS/tts/layers/generic/res_conv_bn.py index daffd7e2..b21c0824 100644 --- a/TTS/tts/layers/generic/res_conv_bn.py +++ b/TTS/tts/layers/generic/res_conv_bn.py @@ -27,8 +27,8 @@ class ConvBN(nn.Module): def forward(self, x): o = self.conv1d(x) o = self.pad(o) - o = self.norm(o) o = nn.functional.relu(o) + o = self.norm(o) return o diff --git a/TTS/tts/layers/speedy_speech/decoder.py b/TTS/tts/layers/speedy_speech/decoder.py index 9ef2215d..81c2d86d 100644 --- a/TTS/tts/layers/speedy_speech/decoder.py +++ b/TTS/tts/layers/speedy_speech/decoder.py @@ -25,7 +25,7 @@ class Decoder(nn.Module): self.post_conv = nn.Conv1d(hidden_channels, hidden_channels, 1) self.post_net = nn.Sequential( - ConvBNBlock(hidden_channels, 4, 1, num_conv_blocks=2), + ConvBNBlock(hidden_channels, residual_conv_bn_params['kernel_size'], 1, num_conv_blocks=2), nn.Conv1d(hidden_channels, out_channels, 1), ) @@ -33,4 +33,4 @@ class Decoder(nn.Module): # TODO: implement multi-speaker o = self.decoder(x, x_mask) o = self.post_conv(o) + x - return self.post_net(o) + return self.post_net(o) * x_mask diff --git a/TTS/tts/layers/speedy_speech/encoder.py b/TTS/tts/layers/speedy_speech/encoder.py index d88db8b7..755c8521 100644 --- a/TTS/tts/layers/speedy_speech/encoder.py +++ b/TTS/tts/layers/speedy_speech/encoder.py @@ -154,8 +154,8 @@ class Encoder(nn.Module): o = self.pre(x) * x_mask o = self.encoder(o, x_mask) o = self.post_conv(o + x) - o = self.post_bn(o) o = F.relu(o) + o = self.post_bn(o) o = self.post_conv2(o) # [B, C, T] return o * x_mask From 8971c59b2de70ab37051a5edd47a6dd11b30555d Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 30 Dec 2020 03:04:58 +0100 Subject: [PATCH 070/108] plot eval alignment score right --- TTS/bin/train_speedy_speech.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TTS/bin/train_speedy_speech.py b/TTS/bin/train_speedy_speech.py index d66ad268..6fd969b3 100644 --- a/TTS/bin/train_speedy_speech.py +++ b/TTS/bin/train_speedy_speech.py @@ -317,7 +317,7 @@ def evaluate(data_loader, model, criterion, ap, global_step, epoch): epoch_time += step_time # compute alignment score - align_error = 1 - alignment_diagonal_score(alignments) + align_error = 1 - alignment_diagonal_score(alignments, binary=True) loss_dict['align_error'] = align_error # aggregate losses from processes From d5a0190c4b24b336141608e6ea00e8826e416421 Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 30 Dec 2020 12:00:28 +0100 Subject: [PATCH 071/108] update copy_config_file to copy_model_files --- TTS/bin/train_encoder.py | 4 ++-- TTS/bin/train_glow_tts.py | 6 +++--- TTS/bin/train_speedy_speech.py | 5 ++--- TTS/bin/train_tacotron.py | 6 +++--- TTS/bin/train_vocoder_gan.py | 6 +++--- TTS/bin/train_vocoder_wavegrad.py | 6 +++--- TTS/bin/train_vocoder_wavernn.py | 4 ++-- 7 files changed, 18 insertions(+), 19 deletions(-) diff --git a/TTS/bin/train_encoder.py b/TTS/bin/train_encoder.py index c386881d..5201f548 100644 --- a/TTS/bin/train_encoder.py +++ b/TTS/bin/train_encoder.py @@ -20,7 +20,7 @@ from TTS.utils.audio import AudioProcessor from TTS.utils.generic_utils import (count_parameters, create_experiment_folder, get_git_branch, remove_experiment_folder, set_init_dict) -from TTS.utils.io import copy_config_file, load_config +from TTS.utils.io import copy_model_files, load_config from TTS.utils.radam import RAdam from TTS.utils.tensorboard_logger import TensorboardLogger from TTS.utils.training import NoamLR, check_update @@ -254,7 +254,7 @@ if __name__ == '__main__': if args.restore_path: new_fields["restore_path"] = args.restore_path new_fields["github_branch"] = get_git_branch() - copy_config_file(args.config_path, os.path.join(OUT_PATH, 'config.json'), + copy_model_files(c, args.config_path, OUT_PATH, new_fields) LOG_DIR = OUT_PATH diff --git a/TTS/bin/train_glow_tts.py b/TTS/bin/train_glow_tts.py index 60be8fa0..7b92d998 100644 --- a/TTS/bin/train_glow_tts.py +++ b/TTS/bin/train_glow_tts.py @@ -30,7 +30,7 @@ from TTS.utils.distribute import init_distributed, reduce_tensor from TTS.utils.generic_utils import (KeepAverage, count_parameters, create_experiment_folder, get_git_branch, remove_experiment_folder, set_init_dict) -from TTS.utils.io import copy_config_file, load_config +from TTS.utils.io import copy_model_files, load_config from TTS.utils.radam import RAdam from TTS.utils.tensorboard_logger import TensorboardLogger from TTS.utils.training import NoamLR, setup_torch_training_env @@ -632,8 +632,8 @@ if __name__ == '__main__': if args.restore_path: new_fields["restore_path"] = args.restore_path new_fields["github_branch"] = get_git_branch() - copy_config_file(args.config_path, - os.path.join(OUT_PATH, 'config.json'), new_fields) + copy_model_files(c, args.config_path, + OUT_PATH, new_fields) os.chmod(AUDIO_PATH, 0o775) os.chmod(OUT_PATH, 0o775) diff --git a/TTS/bin/train_speedy_speech.py b/TTS/bin/train_speedy_speech.py index 6fd969b3..a24cf8bc 100644 --- a/TTS/bin/train_speedy_speech.py +++ b/TTS/bin/train_speedy_speech.py @@ -31,7 +31,7 @@ from TTS.utils.distribute import init_distributed, reduce_tensor from TTS.utils.generic_utils import (KeepAverage, count_parameters, create_experiment_folder, get_git_branch, remove_experiment_folder, set_init_dict) -from TTS.utils.io import copy_config_file, load_config +from TTS.utils.io import copy_model_files, load_config from TTS.utils.radam import RAdam from TTS.utils.tensorboard_logger import TensorboardLogger from TTS.utils.training import NoamLR, setup_torch_training_env @@ -594,8 +594,7 @@ if __name__ == '__main__': if args.restore_path: new_fields["restore_path"] = args.restore_path new_fields["github_branch"] = get_git_branch() - copy_config_file(args.config_path, - os.path.join(OUT_PATH, 'config.json'), new_fields) + copy_model_files(c, args.config_path, OUT_PATH, new_fields) os.chmod(AUDIO_PATH, 0o775) os.chmod(OUT_PATH, 0o775) diff --git a/TTS/bin/train_tacotron.py b/TTS/bin/train_tacotron.py index 8288023c..38017b92 100644 --- a/TTS/bin/train_tacotron.py +++ b/TTS/bin/train_tacotron.py @@ -29,7 +29,7 @@ from TTS.utils.distribute import (DistributedSampler, apply_gradient_allreduce, from TTS.utils.generic_utils import (KeepAverage, count_parameters, create_experiment_folder, get_git_branch, remove_experiment_folder, set_init_dict) -from TTS.utils.io import copy_config_file, load_config +from TTS.utils.io import copy_model_files, load_config from TTS.utils.radam import RAdam from TTS.utils.tensorboard_logger import TensorboardLogger from TTS.utils.training import (NoamLR, adam_weight_decay, check_update, @@ -706,8 +706,8 @@ if __name__ == '__main__': if args.restore_path: new_fields["restore_path"] = args.restore_path new_fields["github_branch"] = get_git_branch() - copy_config_file(args.config_path, - os.path.join(OUT_PATH, 'config.json'), new_fields) + copy_model_files(c, args.config_path, + OUT_PATH, new_fields) os.chmod(AUDIO_PATH, 0o775) os.chmod(OUT_PATH, 0o775) diff --git a/TTS/bin/train_vocoder_gan.py b/TTS/bin/train_vocoder_gan.py index 9ede3647..5f1e8c63 100644 --- a/TTS/bin/train_vocoder_gan.py +++ b/TTS/bin/train_vocoder_gan.py @@ -13,7 +13,7 @@ from TTS.utils.console_logger import ConsoleLogger from TTS.utils.generic_utils import (KeepAverage, count_parameters, create_experiment_folder, get_git_branch, remove_experiment_folder, set_init_dict) -from TTS.utils.io import copy_config_file, load_config +from TTS.utils.io import copy_model_files, load_config from TTS.utils.radam import RAdam from TTS.utils.tensorboard_logger import TensorboardLogger from TTS.utils.training import setup_torch_training_env @@ -639,8 +639,8 @@ if __name__ == '__main__': if args.restore_path: new_fields["restore_path"] = args.restore_path new_fields["github_branch"] = get_git_branch() - copy_config_file(args.config_path, - os.path.join(OUT_PATH, 'config.json'), new_fields) + copy_model_files(c, args.config_path, + OUT_PATH, new_fields) os.chmod(AUDIO_PATH, 0o775) os.chmod(OUT_PATH, 0o775) diff --git a/TTS/bin/train_vocoder_wavegrad.py b/TTS/bin/train_vocoder_wavegrad.py index 9730d1c6..73802c63 100644 --- a/TTS/bin/train_vocoder_wavegrad.py +++ b/TTS/bin/train_vocoder_wavegrad.py @@ -18,7 +18,7 @@ from TTS.utils.distribute import init_distributed from TTS.utils.generic_utils import (KeepAverage, count_parameters, create_experiment_folder, get_git_branch, remove_experiment_folder, set_init_dict) -from TTS.utils.io import copy_config_file, load_config +from TTS.utils.io import copy_model_files, load_config from TTS.utils.tensorboard_logger import TensorboardLogger from TTS.utils.training import setup_torch_training_env from TTS.vocoder.datasets.preprocess import load_wav_data, load_wav_feat_data @@ -486,8 +486,8 @@ if __name__ == '__main__': if args.restore_path: new_fields["restore_path"] = args.restore_path new_fields["github_branch"] = get_git_branch() - copy_config_file(args.config_path, - os.path.join(OUT_PATH, 'config.json'), new_fields) + copy_model_files(c, args.config_path, + OUT_PATH, new_fields) os.chmod(AUDIO_PATH, 0o775) os.chmod(OUT_PATH, 0o775) diff --git a/TTS/bin/train_vocoder_wavernn.py b/TTS/bin/train_vocoder_wavernn.py index 3f4c0fb3..6bd8e645 100644 --- a/TTS/bin/train_vocoder_wavernn.py +++ b/TTS/bin/train_vocoder_wavernn.py @@ -14,7 +14,7 @@ from torch.utils.data import DataLoader from TTS.tts.utils.visual import plot_spectrogram from TTS.utils.audio import AudioProcessor from TTS.utils.radam import RAdam -from TTS.utils.io import copy_config_file, load_config +from TTS.utils.io import copy_model_files, load_config from TTS.utils.training import setup_torch_training_env from TTS.utils.console_logger import ConsoleLogger from TTS.utils.tensorboard_logger import TensorboardLogger @@ -513,7 +513,7 @@ if __name__ == "__main__": if args.restore_path: new_fields["restore_path"] = args.restore_path new_fields["github_branch"] = get_git_branch() - copy_config_file( + copy_model_files( args.config_path, os.path.join(OUT_PATH, "config.json"), new_fields ) os.chmod(AUDIO_PATH, 0o775) From 4ef083f0f11fa08c41d727c93d46118b3759ac9a Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 30 Dec 2020 14:18:31 +0100 Subject: [PATCH 072/108] select decoder type for SS --- TTS/tts/layers/glow_tts/glow.py | 2 +- TTS/tts/layers/speedy_speech/decoder.py | 56 +++++++++++++++++++++---- 2 files changed, 49 insertions(+), 9 deletions(-) diff --git a/TTS/tts/layers/glow_tts/glow.py b/TTS/tts/layers/glow_tts/glow.py index 7b394e43..eba593dc 100644 --- a/TTS/tts/layers/glow_tts/glow.py +++ b/TTS/tts/layers/glow_tts/glow.py @@ -84,7 +84,7 @@ class WN(torch.nn.Module): self.res_skip_layers = torch.nn.ModuleList() self.dropout = nn.Dropout(dropout_p) - if c_in_channels != 0: + if c_in_channels > 0: cond_layer = torch.nn.Conv1d(c_in_channels, 2 * hidden_channels * num_layers, 1) self.cond_layer = torch.nn.utils.weight_norm(cond_layer, diff --git a/TTS/tts/layers/speedy_speech/decoder.py b/TTS/tts/layers/speedy_speech/decoder.py index 81c2d86d..0b928de7 100644 --- a/TTS/tts/layers/speedy_speech/decoder.py +++ b/TTS/tts/layers/speedy_speech/decoder.py @@ -1,32 +1,72 @@ from torch import nn from TTS.tts.layers.generic.res_conv_bn import ConvBNBlock, ResidualConvBNBlock +from TTS.tts.layers.glow_tts.transformer import Transformer class Decoder(nn.Module): """Decodes the expanded phoneme encoding into spectrograms + Args: + out_channels (int): number of output channels. + in_hidden_channels (int): input and hidden channels. Model keeps the input channels for the intermediate layers. + decoder_type (str): decoder layer types. 'transformers' or 'residual_conv_bn'. Default 'residual_conv_bn'. + decoder_params (dict): model parameters for specified decoder type. + c_in_channels (int): number of channels for conditional input. + Shapes: - input: (B, C, T) + + Note: + Default decoder_params... + + for 'transformer' + encoder_params={ + 'hidden_channels_ffn': 128, + 'num_heads': 2, + "kernel_size": 3, + "dropout_p": 0.1, + "num_layers": 8, + "rel_attn_window_size": 4, + "input_length": None + }, + + for 'residual_conv_bn' + encoder_params = { + "kernel_size": 4, + "dilations": 4 * [1, 2, 4, 8] + [1], + "num_conv_blocks": 2, + "num_res_blocks": 17 + } """ # pylint: disable=dangerous-default-value def __init__( self, out_channels, - hidden_channels, - residual_conv_bn_params={ + in_hidden_channels, + decoder_type='residual_conv_bn', + decoder_params={ "kernel_size": 4, "dilations": 4 * [1, 2, 4, 8] + [1], "num_conv_blocks": 2, "num_res_blocks": 17 - }): + }, + c_in_channels=0): super().__init__() + self.in_channels = in_hidden_channels + self.hidden_channels = in_hidden_channels + self.out_channels = out_channels - self.decoder = ResidualConvBNBlock(hidden_channels, - **residual_conv_bn_params) + if decoder_type == 'transformer': + self.decoder = Transformer(self.hidden_channels, **decoder_params) + elif decoder_type == 'residual_conv_bn': + self.decoder = ResidualConvBNBlock(self.hidden_channels, + **decoder_params) + else: + raise ValueError(f'[!] Unknown decoder type - {decoder_type}') - self.post_conv = nn.Conv1d(hidden_channels, hidden_channels, 1) + self.post_conv = nn.Conv1d(self.hidden_channels, self.hidden_channels, 1) self.post_net = nn.Sequential( - ConvBNBlock(hidden_channels, residual_conv_bn_params['kernel_size'], 1, num_conv_blocks=2), - nn.Conv1d(hidden_channels, out_channels, 1), + ConvBNBlock(self.hidden_channels, decoder_params['kernel_size'], 1, num_conv_blocks=2), + nn.Conv1d(self.hidden_channels, out_channels, 1), ) def forward(self, x, x_mask, g=None): # pylint: disable=unused-argument From 5901a005767c6bfa800ae742ae68e9de030aaa67 Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 30 Dec 2020 14:19:23 +0100 Subject: [PATCH 073/108] argument rename --- TTS/tts/layers/speedy_speech/encoder.py | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/TTS/tts/layers/speedy_speech/encoder.py b/TTS/tts/layers/speedy_speech/encoder.py index 755c8521..121c6d9e 100644 --- a/TTS/tts/layers/speedy_speech/encoder.py +++ b/TTS/tts/layers/speedy_speech/encoder.py @@ -53,10 +53,9 @@ class PositionalEncoding(nn.Module): if self.pe.size(2) < x.size(2): raise RuntimeError( f"Sequence is {x.size(2)} but PositionalEncoding is" - f" limited to {self.pe.size(2)}. See max_len argument." - ) + f" limited to {self.pe.size(2)}. See max_len argument.") if mask is not None: - pos_enc = (self.pe[:, : ,:x.size(2)] * mask) + pos_enc = (self.pe[:, :, :x.size(2)] * mask) else: pos_enc = self.pe[:, :, :x.size(2)] x = x + pos_enc @@ -71,10 +70,10 @@ class Encoder(nn.Module): # pylint: disable=dangerous-default-value def __init__( self, - hidden_channels, + in_hidden_channels, out_channels, encoder_type='residual_conv_bn', - encoder_params = { + encoder_params={ "kernel_size": 4, "dilations": 4 * [1, 2, 4] + [1], "num_conv_blocks": 2, @@ -86,7 +85,7 @@ class Encoder(nn.Module): Args: num_chars (int): number of characters. out_channels (int): number of output channels. - hidden_channels (int): encoder's embedding size. + in_hidden_channels (int): input and hidden channels. Model keeps the input channels for the intermediate layers. encoder_type (str): encoder layer types. 'transformers' or 'residual_conv_bn'. Default 'residual_conv_bn'. encoder_params (dict): model parameters for specified encoder type. c_in_channels (int): number of channels for conditional input. @@ -96,7 +95,7 @@ class Encoder(nn.Module): for 'transformer' encoder_params={ - 'hidden_channels_ffn': 768, + 'hidden_channels_ffn': 128, 'num_heads': 2, "kernel_size": 3, "dropout_p": 0.1, From eb555855e4a81f9ce0b645a6bbce610feaa0d7e6 Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 30 Dec 2020 14:20:08 +0100 Subject: [PATCH 074/108] small fixes --- TTS/tts/layers/speedy_speech/encoder.py | 24 +++++++++++++----------- TTS/tts/models/glow_tts.py | 3 ++- 2 files changed, 15 insertions(+), 12 deletions(-) diff --git a/TTS/tts/layers/speedy_speech/encoder.py b/TTS/tts/layers/speedy_speech/encoder.py index 121c6d9e..e0a0ce8f 100644 --- a/TTS/tts/layers/speedy_speech/encoder.py +++ b/TTS/tts/layers/speedy_speech/encoder.py @@ -15,7 +15,6 @@ class PositionalEncoding(nn.Module): dropout (float): dropout parameter dim (int): embedding size """ - def __init__(self, dim, dropout=0.0, max_len=5000): super().__init__() if dim % 2 != 0: @@ -117,33 +116,36 @@ class Encoder(nn.Module): """ super().__init__() self.out_channels = out_channels - self.hidden_channels = hidden_channels + self.in_channels = in_hidden_channels + self.hidden_channels = in_hidden_channels self.encoder_type = encoder_type self.c_in_channels = c_in_channels # init encoder if encoder_type.lower() == "transformer": # optional convolutional prenet - self.pre = ConvLayerNorm(hidden_channels, - hidden_channels, - hidden_channels, + self.pre = ConvLayerNorm(self.in_channels, + self.hidden_channels, + self.hidden_channels, kernel_size=5, num_layers=3, dropout_p=0.5) # text encoder - self.encoder = Transformer(hidden_channels, **encoder_params) # pylint: disable=unexpected-keyword-arg + self.encoder = Transformer(self.hidden_channels, **encoder_params) # pylint: disable=unexpected-keyword-arg elif encoder_type.lower() == 'residual_conv_bn': self.pre = nn.Sequential( - nn.Conv1d(hidden_channels, hidden_channels, 1), nn.ReLU()) - self.encoder = ResidualConvBNBlock(hidden_channels, + nn.Conv1d(self.in_channels, self.hidden_channels, 1), + nn.ReLU()) + self.encoder = ResidualConvBNBlock(self.hidden_channels, **encoder_params) else: raise NotImplementedError(' [!] encoder type not implemented.') # final projection layers - self.post_conv = nn.Conv1d(hidden_channels, hidden_channels, 1) - self.post_bn = nn.BatchNorm1d(hidden_channels) - self.post_conv2 = nn.Conv1d(hidden_channels, out_channels, 1) + self.post_conv = nn.Conv1d(self.hidden_channels, self.hidden_channels, + 1) + self.post_bn = nn.BatchNorm1d(self.hidden_channels) + self.post_conv2 = nn.Conv1d(self.hidden_channels, self.out_channels, 1) def forward(self, x, x_mask, g=None): # pylint: disable=unused-argument # TODO: implement multi-speaker diff --git a/TTS/tts/models/glow_tts.py b/TTS/tts/models/glow_tts.py index bd6d5eb8..9f157ded 100644 --- a/TTS/tts/models/glow_tts.py +++ b/TTS/tts/models/glow_tts.py @@ -126,6 +126,7 @@ class GlowTts(nn.Module): x_lenghts: B y: B x C x T y_lengths: B + g: B x C or B """ y_max_length = y.size(2) # norm speaker embeddings @@ -133,7 +134,7 @@ class GlowTts(nn.Module): if self.external_speaker_embedding_dim: g = F.normalize(g).unsqueeze(-1) else: - g = F.normalize(self.emb_g(g)).unsqueeze(-1)# [b, h] + g = F.normalize(self.emb_g(g)).unsqueeze(-1)# [b, h, 1] # embedding pass o_mean, o_log_scale, o_dur_log, x_mask = self.encoder(x, From aa40fe1aa0382bf5148d1475dd647def1d2ed332 Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 30 Dec 2020 14:20:40 +0100 Subject: [PATCH 075/108] SS model refacotring for multi speaker --- TTS/tts/models/speedy_speech.py | 98 +++++++++++++++++++-------------- 1 file changed, 56 insertions(+), 42 deletions(-) diff --git a/TTS/tts/models/speedy_speech.py b/TTS/tts/models/speedy_speech.py index ac692be5..53b68ab1 100644 --- a/TTS/tts/models/speedy_speech.py +++ b/TTS/tts/models/speedy_speech.py @@ -23,12 +23,15 @@ class SpeedySpeech(nn.Module): "num_conv_blocks": 2, "num_res_blocks": 13 }, + decoder_type='residual_conv_bn', decoder_residual_conv_bn_params={ "kernel_size": 4, "dilations": 4 * [1, 2, 4, 8] + [1], "num_conv_blocks": 2, "num_res_blocks": 17 }, + num_speakers=0, + external_c=False, c_in_channels=0): super().__init__() self.length_scale = float(length_scale) if isinstance(length_scale, int) else length_scale @@ -38,8 +41,16 @@ class SpeedySpeech(nn.Module): if positional_encoding: self.pos_encoder = PositionalEncoding(hidden_channels) self.decoder = Decoder(out_channels, hidden_channels, - decoder_residual_conv_bn_params) - self.duration_predictor = DurationPredictor(hidden_channels) + decoder_type, decoder_residual_conv_bn_params) + self.duration_predictor = DurationPredictor(hidden_channels + c_in_channels) + + if num_speakers > 1 and not external_c: + # speaker embedding layer + self.emb_g = nn.Embedding(num_speakers, c_in_channels) + nn.init.uniform_(self.emb_g.weight, -0.1, 0.1) + + if c_in_channels > 0 and c_in_channels != hidden_channels: + self.proj_g = nn.Conv1d(c_in_channels, hidden_channels, 1) @staticmethod def expand_encoder_outputs(en, dr, x_mask, y_mask): @@ -56,8 +67,25 @@ class SpeedySpeech(nn.Module): o_dr = torch.round(o_dr) return o_dr - def forward(self, x, x_lengths, y_lengths, dr, g=None): # pylint: disable=unused-argument - # TODO: multi-speaker + @staticmethod + def _concat_speaker_embedding(o_en, g): + g_exp = g.expand(-1, -1, o_en.size(-1)) # [B, C, T_en] + o_en = torch.cat([o_en, g_exp], 1) + return o_en + + def _sum_speaker_embedding(self, x, g): + # project g to decoder dim. + if hasattr(self, 'proj_g'): + g = self.proj_g(g) + return x + g + + def _forward_encoder(self, x, x_lengths, g=None): + if hasattr(self, 'emb_g'): + g = nn.functional.normalize(self.emb_g(g)) # [B, C, 1] + + if g is not None: + g = g.unsqueeze(-1) + # [B, T, C] x_emb = self.emb(x) # [B, C, T] @@ -67,58 +95,44 @@ class SpeedySpeech(nn.Module): x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.shape[1]), 1).to(x.dtype) - y_mask = torch.unsqueeze(sequence_mask(y_lengths, None), - 1).to(x_mask.dtype) - # encoder pass o_en = self.encoder(x_emb, x_mask) - # duration predictor pass - o_dr_log = self.duration_predictor(o_en.detach(), x_mask) + # speaker conditioning for duration predictor + if g is not None: + o_en_dp = self._concat_speaker_embedding(o_en, g) + else: + o_en_dp = o_en + return o_en, o_en_dp, x_mask, g + def _forward_decoder(self, o_en, o_en_dp, dr, x_mask, y_lengths, g): + y_mask = torch.unsqueeze(sequence_mask(y_lengths, None), + 1).to(o_en_dp.dtype) # expand o_en with durations o_en_ex, attn = self.expand_encoder_outputs(o_en, dr, x_mask, y_mask) - # positional encoding if hasattr(self, 'pos_encoder'): o_en_ex = self.pos_encoder(o_en_ex, y_mask) - + # speaker embedding + if g is not None: + o_en_ex = self._sum_speaker_embedding(o_en_ex, g) # decoder pass - o_de = self.decoder(o_en_ex, y_mask) + o_de = self.decoder(o_en_ex, y_mask, g=g) + return o_de, attn.transpose(1, 2) - return o_de, o_dr_log.squeeze(1), attn.transpose(1, 2) + def forward(self, x, x_lengths, y_lengths, dr, g=None): # pylint: disable=unused-argument + o_en, o_en_dp, x_mask, g = self._forward_encoder(x, x_lengths, g) + o_dr_log = self.duration_predictor(o_en_dp.detach(), x_mask) + o_de, attn= self._forward_decoder(o_en, o_en_dp, dr, x_mask, y_lengths, g=g) + return o_de, o_dr_log.squeeze(1), attn def inference(self, x, x_lengths, g=None): # pylint: disable=unused-argument - # TODO: multi-speaker # pad input to prevent dropping the last word x = torch.nn.functional.pad(x, pad=(0, 5), mode='constant', value=0) - - # [B, T, C] - x_emb = self.emb(x) - # [B, C, T] - x_emb = torch.transpose(x_emb, 1, -1) - - # compute sequence masks - x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.shape[1]), - 1).to(x.dtype) - # encoder pass - o_en = self.encoder(x_emb, x_mask) - + o_en, o_en_dp, x_mask, g = self._forward_encoder(x, x_lengths, g) # duration predictor pass - o_dr_log = self.duration_predictor(o_en.detach(), x_mask) + o_dr_log = self.duration_predictor(o_en_dp.detach(), x_mask) o_dr = self.format_durations(o_dr_log, x_mask).squeeze(1) - - # output mask - y_mask = torch.unsqueeze(sequence_mask(o_dr.sum(1), None), 1).to(x_mask.dtype) - - # expand o_en with durations - o_en_ex, attn = self.expand_encoder_outputs(o_en, o_dr, x_mask, y_mask) - - # positional encoding - if hasattr(self, 'pos_encoder'): - o_en_ex = self.pos_encoder(o_en_ex) - - # decoder pass - o_de = self.decoder(o_en_ex, y_mask) - - return o_de, attn.transpose(1, 2) + y_lengths = o_dr.sum(1) + o_de, attn= self._forward_decoder(o_en, o_en_dp, o_dr, x_mask, y_lengths, g=g) + return o_de, attn From 71c382be14e48361b25d8dcb492560f188aabb63 Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 30 Dec 2020 14:23:08 +0100 Subject: [PATCH 076/108] copy model scale stats file with config.json to the trianing folder, fixed for model inits --- TTS/tts/utils/generic_utils.py | 3 +++ TTS/utils/io.py | 13 ++++++++++--- 2 files changed, 13 insertions(+), 3 deletions(-) diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index d4e321e4..568fc8c6 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -110,6 +110,7 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): num_heads=2, num_layers_enc=6, encoder_type=c.encoder_type, + rel_attn_window_size=4, dropout_p=0.1, num_flow_blocks_dec=12, kernel_size_dec=5, @@ -132,6 +133,8 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): hidden_channels=128, positional_encoding=c['positional_encoding'], encoder_type=c['encoder_type'], + encoder_params=c['encoder_params'], + decoder_type=c['decoder_type'], decoder_residual_conv_bn_params=c['decoder_residual_conv_bn_params'], c_in_channels=0) return model diff --git a/TTS/utils/io.py b/TTS/utils/io.py index 3cc36e95..3fb7a92d 100644 --- a/TTS/utils/io.py +++ b/TTS/utils/io.py @@ -3,6 +3,7 @@ import re import json import yaml import pickle as pickle_tts +from shutil import copyfile class RenamingUnpickler(pickle_tts.Unpickler): @@ -44,16 +45,19 @@ def load_config(config_path: str) -> AttrDict: return config -def copy_config_file(config_file, out_path, new_fields): - """Copy config.json to training folder and add +def copy_model_files(c, config_file, out_path, new_fields): + """Copy config.json and other model files to training folder and add new fields. Args: + c (dict): model config from config.json. config_file (str): path to config file. out_path (str): output path to copy the file. new_fields (dict): new fileds to be added or edited in the config file. """ + # copy config.json + copy_config_path = OUT_PATH config_lines = open(config_file, "r").readlines() # add extra information fields for key, value in new_fields.items(): @@ -62,6 +66,9 @@ def copy_config_file(config_file, out_path, new_fields): else: new_line = '"{}":{},\n'.format(key, value) config_lines.insert(1, new_line) - config_out_file = open(out_path, "w") + config_out_file = open(copy_config_path, "w") config_out_file.writelines(config_lines) config_out_file.close() + # copy model stats file if available + copy_stats_path = os.path.join(out_path, 'scale_stats.npy') + copyfile(c.audio['stats_path'], copy_stats_path) From ad3863df3cb84b201befd7bc09a1dcf931482a61 Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 30 Dec 2020 14:24:04 +0100 Subject: [PATCH 077/108] update SS tests for multi-speaker case --- tests/test_speedy_speech_layers.py | 74 ++++++++++++++++++++++-------- 1 file changed, 55 insertions(+), 19 deletions(-) diff --git a/tests/test_speedy_speech_layers.py b/tests/test_speedy_speech_layers.py index b9787009..33a5e615 100644 --- a/tests/test_speedy_speech_layers.py +++ b/tests/test_speedy_speech_layers.py @@ -15,31 +15,31 @@ def test_encoder(): input_dummy = torch.rand(8, 14, 37).to(device) input_lengths = torch.randint(31, 37, (8, )).long().to(device) input_lengths[-1] = 37 - input_mask = torch.unsqueeze(sequence_mask(input_lengths, input_dummy.size(2)), - 1).to(device) + input_mask = torch.unsqueeze( + sequence_mask(input_lengths, input_dummy.size(2)), 1).to(device) # residual bn conv encoder layer = Encoder(out_channels=11, - hidden_channels=14, - encoder_type='residual_conv_bn').to(device) + in_hidden_channels=14, + encoder_type='residual_conv_bn').to(device) output = layer(input_dummy, input_mask) - assert list(output.shape)==[8, 11, 37] + assert list(output.shape) == [8, 11, 37] # transformer encoder layer = Encoder(out_channels=11, - hidden_channels=14, + in_hidden_channels=14, encoder_type='transformer', encoder_params={ - 'hidden_channels_ffn': 768, - 'num_heads': 2, - "kernel_size": 3, - "dropout_p": 0.1, - "num_layers": 6, - "rel_attn_window_size": 4, - "input_length": None - }).to(device) + 'hidden_channels_ffn': 768, + 'num_heads': 2, + "kernel_size": 3, + "dropout_p": 0.1, + "num_layers": 6, + "rel_attn_window_size": 4, + "input_length": None + }).to(device) output = layer(input_dummy, input_mask) - assert list(output.shape)==[8, 11, 37] + assert list(output.shape) == [8, 11, 37] def test_decoder(): @@ -47,9 +47,10 @@ def test_decoder(): input_lengths = torch.randint(31, 37, (8, )).long().to(device) input_lengths[-1] = 37 - input_mask = torch.unsqueeze(sequence_mask(input_lengths, input_dummy.size(2)), 1).to(device) + input_mask = torch.unsqueeze( + sequence_mask(input_lengths, input_dummy.size(2)), 1).to(device) - layer = Decoder(out_channels=11, hidden_channels=128).to(device) + layer = Decoder(out_channels=11, in_hidden_channels=128).to(device) output = layer(input_dummy, input_mask) assert list(output.shape) == [8, 11, 37] @@ -59,12 +60,13 @@ def test_duration_predictor(): input_lengths = torch.randint(20, 27, (8, )).long().to(device) input_lengths[-1] = 27 - x_mask = torch.unsqueeze(sequence_mask(input_lengths, input_dummy.size(2)), 1).to(device) + x_mask = torch.unsqueeze(sequence_mask(input_lengths, input_dummy.size(2)), + 1).to(device) layer = DurationPredictor(hidden_channels=128).to(device) output = layer(input_dummy, x_mask) - assert list(output.shape)==[8, 1, 27] + assert list(output.shape) == [8, 1, 27] def test_speedy_speech(): @@ -93,6 +95,40 @@ def test_speedy_speech(): # forward pass o_de, o_dr, attn = model(x_dummy, x_lengths, y_lengths, durations) + assert list(o_de.shape) == [B, 80, T_de], f"{list(o_de.shape)}" + assert list(attn.shape) == [B, T_de, T_en] + assert list(o_dr.shape) == [B, T_en] + + # with speaker embedding + model = SpeedySpeech(num_chars, + out_channels=80, + hidden_channels=128, + num_speakers=10, + c_in_channels=256).to(device) + model.forward(x_dummy, + x_lengths, + y_lengths, + durations, + g=torch.randint(0, 10, (B,)).to(device)) + + assert list(o_de.shape) == [B, 80, T_de], f"{list(o_de.shape)}" + assert list(attn.shape) == [B, T_de, T_en] + assert list(o_dr.shape) == [B, T_en] + + + # with speaker external embedding + model = SpeedySpeech(num_chars, + out_channels=80, + hidden_channels=128, + num_speakers=10, + external_c=True, + c_in_channels=256).to(device) + model.forward(x_dummy, + x_lengths, + y_lengths, + durations, + g=torch.rand((B,256)).to(device)) + assert list(o_de.shape) == [B, 80, T_de], f"{list(o_de.shape)}" assert list(attn.shape) == [B, T_de, T_en] assert list(o_dr.shape) == [B, T_en] \ No newline at end of file From f352b3534cc71d2a5744bf58d013f0f160b529af Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 5 Jan 2021 14:16:02 +0100 Subject: [PATCH 078/108] make noise augmentation optional --- TTS/bin/train_glow_tts.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TTS/bin/train_glow_tts.py b/TTS/bin/train_glow_tts.py index 7b92d998..d03ab1ee 100644 --- a/TTS/bin/train_glow_tts.py +++ b/TTS/bin/train_glow_tts.py @@ -57,7 +57,7 @@ def setup_loader(ap, r, is_val=False, verbose=False): use_phonemes=c.use_phonemes, phoneme_language=c.phoneme_language, enable_eos_bos=c.enable_eos_bos_chars, - use_noise_augment=not is_val, + use_noise_augment=c['use_noise_augment'] and not is_val, verbose=verbose, speaker_mapping=speaker_mapping if c.use_speaker_embedding and c.use_external_speaker_embedding_file else None) From 228ada04b5e551939da8019d7d43a32dbbd7ca36 Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 5 Jan 2021 14:21:12 +0100 Subject: [PATCH 079/108] update glow-tts ljspeech config --- ..._tts_tdsep.json => glow_tts_ljspeech.json} | 20 +++++++++++++++---- 1 file changed, 16 insertions(+), 4 deletions(-) rename TTS/tts/configs/{glow_tts_tdsep.json => glow_tts_ljspeech.json} (90%) diff --git a/TTS/tts/configs/glow_tts_tdsep.json b/TTS/tts/configs/glow_tts_ljspeech.json similarity index 90% rename from TTS/tts/configs/glow_tts_tdsep.json rename to TTS/tts/configs/glow_tts_ljspeech.json index 72eb3da7..636d9313 100644 --- a/TTS/tts/configs/glow_tts_tdsep.json +++ b/TTS/tts/configs/glow_tts_ljspeech.json @@ -31,12 +31,12 @@ "spec_gain": 1.0, // scaler value appplied after log transform of spectrogram.00 // Normalization parameters - "signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params. + "signal_norm": false, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params. "min_level_db": -100, // lower bound for normalization "symmetric_norm": true, // move normalization to range [-1, 1] "max_norm": 1.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm] "clip_norm": true, // clip normalized values into the range. - "stats_path": "/home/erogol/Data/LJSpeech-1.1/scale_stats.npy" // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored + "stats_path": null // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored }, // VOCABULARY PARAMETERS @@ -63,6 +63,19 @@ // MODEL PARAMETERS // "use_mas": false, // use Monotonic Alignment Search if true. Otherwise use pre-computed attention alignments. + "hidden_channels_encoder": 192, + "hidden_channels_decoder": 192, + "hidden_channels_duration_predictor": 256, + "use_encoder_prenet": true, + "encoder_type": "rel_pos_transformer", + "encoder_params": { + "kernel_size":3, + "dropout_p": 0.1, + "num_layers": 6, + "num_heads": 2, + "hidden_channels_ffn": 768, + "input_length": null + }, // TRAINING "batch_size": 32, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'. @@ -86,8 +99,6 @@ "warmup_steps": 4000, // Noam decay steps to increase the learning rate from 0 to "lr" "seq_len_norm": false, // Normalize eash sample loss with its length to alleviate imbalanced datasets. Use it if your dataset is small or has skewed distribution of sequence lengths. - "encoder_type": "residual_conv_bn", - // TENSORBOARD and LOGGING "print_step": 25, // Number of steps to log training on console. "tb_plot_step": 100, // Number of steps to plot TB training figures. @@ -105,6 +116,7 @@ "min_seq_len": 3, // DATASET-RELATED: minimum text length to use in training "max_seq_len": 500, // DATASET-RELATED: maximum text length "compute_f0": false, // compute f0 values in data-loader + "use_noise_augment": true, //add a random noise to audio signal for augmentation at training . "compute_input_seq_cache": true, // PATHS From 29cf9338310f4e77b8598ed011aa6234ee25be06 Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 5 Jan 2021 14:22:03 +0100 Subject: [PATCH 080/108] update SS condif --- TTS/tts/configs/speedy_speech_ljspeech.json | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/TTS/tts/configs/speedy_speech_ljspeech.json b/TTS/tts/configs/speedy_speech_ljspeech.json index 394c7005..bd511470 100644 --- a/TTS/tts/configs/speedy_speech_ljspeech.json +++ b/TTS/tts/configs/speedy_speech_ljspeech.json @@ -64,6 +64,7 @@ // MODEL PARAMETERS "positional_encoding": true, + "hidden_channels": 128, // defined globally all the hidden channels of the model - 128 default "encoder_type": "residual_conv_bn", "encoder_params":{ "kernel_size": 4, @@ -71,7 +72,8 @@ "num_conv_blocks": 2, "num_res_blocks": 13 }, - "decoder_residual_conv_bn_params":{ + "decoder_type": "residual_conv_bn", + "decoder_params":{ "kernel_size": 4, "dilations": [1, 2, 4, 8, 1, 2, 4, 8, 1, 2, 4, 8, 1, 2, 4, 8, 1], "num_conv_blocks": 2, From 29f4329d7f565d730a4207cee0c119d8b894f02e Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 5 Jan 2021 14:25:12 +0100 Subject: [PATCH 081/108] update glow-tts layers and add some comments --- TTS/tts/layers/generic/res_conv_bn.py | 6 ++- TTS/tts/layers/glow_tts/decoder.py | 44 ++++++++++++++----- TTS/tts/layers/glow_tts/encoder.py | 61 ++++++++++++++++++++------- 3 files changed, 84 insertions(+), 27 deletions(-) diff --git a/TTS/tts/layers/generic/res_conv_bn.py b/TTS/tts/layers/generic/res_conv_bn.py index b21c0824..668a450c 100644 --- a/TTS/tts/layers/generic/res_conv_bn.py +++ b/TTS/tts/layers/generic/res_conv_bn.py @@ -60,9 +60,11 @@ class ResidualConvBNBlock(nn.Module): self.res_blocks.append(block) def forward(self, x, x_mask=None): - o = x + o = x * x_mask for block in self.res_blocks: res = o - o = block(o * x_mask if x_mask is not None else o) + o = block(o) o = o + res + if x_mask is not None: + o = o * x_mask return o diff --git a/TTS/tts/layers/glow_tts/decoder.py b/TTS/tts/layers/glow_tts/decoder.py index 6788132e..46533ed1 100644 --- a/TTS/tts/layers/glow_tts/decoder.py +++ b/TTS/tts/layers/glow_tts/decoder.py @@ -6,6 +6,13 @@ from TTS.tts.layers.generic.normalization import ActNorm def squeeze(x, x_mask=None, num_sqz=2): + """GlowTTS squeeze operation + Increase number of channels and reduce number of time steps + by the same factor. + + Note: + each 's' is a n-dimensional vector. + [s1,s2,s3,s4,s5,s6] --> [[s1, s3, s5], [s2, s4, s6]]""" b, c, t = x.size() t = (t // num_sqz) * num_sqz @@ -23,6 +30,11 @@ def squeeze(x, x_mask=None, num_sqz=2): def unsqueeze(x, x_mask=None, num_sqz=2): + """GlowTTS unsqueeze operation + + Note: + each 's' is a n-dimensional vector. + [[s1, s3, s5], [s2, s4, s6]] --> [[s1, s3, s5], [s2, s4, s6]] """ b, c, t = x.size() x_unsqz = x.view(b, num_sqz, c // num_sqz, t) @@ -40,7 +52,19 @@ def unsqueeze(x, x_mask=None, num_sqz=2): class Decoder(nn.Module): - """Stack of Glow Modules""" + """Stack of Glow Decoder Modules. + Squeeze -> ActNorm -> InvertibleConv1x1 -> AffineCoupling -> Unsqueeze + + Args: + in_channels (int): channels of input tensor. + hidden_channels (int): hidden decoder channels. + kernel_size (int): Coupling block kernel size. (Wavenet filter kernel size.) + dilation_rate (int): rate to increase dilation by each layer in a decoder block. + num_flow_blocks (int): number of decoder blocks. + num_coupling_layers (int): number coupling layers. (number of wavenet layers.) + dropout_p (float): wavenet dropout rate. + sigmoid_scale (bool): enable/disable sigmoid scaling in coupling layer. + """ def __init__(self, in_channels, hidden_channels, @@ -50,7 +74,7 @@ class Decoder(nn.Module): num_coupling_layers, dropout_p=0., num_splits=4, - num_sqz=2, + num_squeeze=2, sigmoid_scale=False, c_in_channels=0): super().__init__() @@ -63,18 +87,18 @@ class Decoder(nn.Module): self.num_coupling_layers = num_coupling_layers self.dropout_p = dropout_p self.num_splits = num_splits - self.num_sqz = num_sqz + self.num_squeeze = num_squeeze self.sigmoid_scale = sigmoid_scale self.c_in_channels = c_in_channels self.flows = nn.ModuleList() for _ in range(num_flow_blocks): - self.flows.append(ActNorm(channels=in_channels * num_sqz)) + self.flows.append(ActNorm(channels=in_channels * num_squeeze)) self.flows.append( - InvConvNear(channels=in_channels * num_sqz, + InvConvNear(channels=in_channels * num_squeeze, num_splits=num_splits)) self.flows.append( - CouplingBlock(in_channels * num_sqz, + CouplingBlock(in_channels * num_squeeze, hidden_channels, kernel_size=kernel_size, dilation_rate=dilation_rate, @@ -91,16 +115,16 @@ class Decoder(nn.Module): flows = reversed(self.flows) logdet_tot = None - if self.num_sqz > 1: - x, x_mask = squeeze(x, x_mask, self.num_sqz) + if self.num_squeeze > 1: + x, x_mask = squeeze(x, x_mask, self.num_squeeze) for f in flows: if not reverse: x, logdet = f(x, x_mask, g=g, reverse=reverse) logdet_tot += logdet else: x, logdet = f(x, x_mask, g=g, reverse=reverse) - if self.num_sqz > 1: - x, x_mask = unsqueeze(x, x_mask, self.num_sqz) + if self.num_squeeze > 1: + x, x_mask = unsqueeze(x, x_mask, self.num_squeeze) return x, logdet_tot def store_inverse(self): diff --git a/TTS/tts/layers/glow_tts/encoder.py b/TTS/tts/layers/glow_tts/encoder.py index cdda5723..f4f80ee5 100644 --- a/TTS/tts/layers/glow_tts/encoder.py +++ b/TTS/tts/layers/glow_tts/encoder.py @@ -2,7 +2,7 @@ import math import torch from torch import nn -from TTS.tts.layers.glow_tts.transformer import Transformer +from TTS.tts.layers.glow_tts.transformer import RelativePositionTransformer from TTS.tts.layers.generic.gated_conv import GatedConvBlock from TTS.tts.utils.generic_utils import sequence_mask from TTS.tts.layers.glow_tts.glow import ConvLayerNorm @@ -12,16 +12,20 @@ from TTS.tts.layers.generic.res_conv_bn import ResidualConvBNBlock class Encoder(nn.Module): - """Glow-TTS encoder module. It uses Transformer with Relative Pos.Encoding - as in the original paper or GatedConvBlock as a faster alternative. + """Glow-TTS encoder module. + embedding -> -> encoder_module -> --> proj_mean + | + |-> proj_var + | + |-> concat -> duration_predictor + ↑ + speaker_embed Args: num_chars (int): number of characters. out_channels (int): number of output channels. hidden_channels (int): encoder's embedding size. hidden_channels_ffn (int): transformer's feed-forward channels. - num_head (int): number of attention heads in transformer. - num_layers (int): number of transformer encoder stack. kernel_size (int): kernel size for conv layers and duration predictor. dropout_p (float): dropout rate for any dropout layer. mean_only (bool): if True, output only mean values and use constant std. @@ -30,19 +34,49 @@ class Encoder(nn.Module): Shapes: - input: (B, T, C) + + Notes: + suggested encoder params... + + for encoder_type == 'rel_pos_transformer' + encoder_params={ + 'kernel_size':3, + 'dropout_p': 0.1, + 'num_layers': 6, + 'num_heads': 2, + 'hidden_channels_ffn': 768, # 4 times the hidden_channels + 'input_length': None + } + + for encoder_type == 'gated_conv' + encoder_params={ + 'kernel_size':5, + 'dropout_p': 0.1, + 'num_layers': 9, + } + + for encoder_type == 'residual_conv_bn' + encoder_params={ + "kernel_size": 4, + "dilations": [1, 2, 4, 1, 2, 4, 1, 2, 4, 1, 2, 4, 1], + "num_conv_blocks": 2, + "num_res_blocks": 13 + } + + for encoder_type == 'time_depth_separable' + encoder_params={ + "kernel_size": 5, + 'num_layers': 9, + } """ def __init__(self, num_chars, out_channels, hidden_channels, - hidden_channels_ffn, hidden_channels_dp, encoder_type, - num_heads, - num_layers, - dropout_p, - rel_attn_window_size=None, - input_length=None, + encoder_params, + dropout_p_dp=0.1, mean_only=False, use_prenet=True, c_in_channels=0): @@ -51,11 +85,8 @@ class Encoder(nn.Module): self.num_chars = num_chars self.out_channels = out_channels self.hidden_channels = hidden_channels - self.hidden_channels_ffn = hidden_channels_ffn self.hidden_channels_dp = hidden_channels_dp - self.num_heads = num_heads - self.num_layers = num_layers - self.dropout_p = dropout_p + self.dropout_p_dp = dropout_p_dp self.mean_only = mean_only self.use_prenet = use_prenet self.c_in_channels = c_in_channels From e82d31b6ac03f20119495559ea09a5a4ed9d7f7e Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 5 Jan 2021 14:29:45 +0100 Subject: [PATCH 082/108] glow ttss refactoring --- TTS/tts/layers/glow_tts/encoder.py | 55 +++++--------- TTS/tts/layers/glow_tts/glow.py | 101 +------------------------ TTS/tts/layers/glow_tts/transformer.py | 4 +- TTS/tts/models/glow_tts.py | 83 +++++++++++--------- TTS/tts/utils/generic_utils.py | 11 +-- 5 files changed, 75 insertions(+), 179 deletions(-) diff --git a/TTS/tts/layers/glow_tts/encoder.py b/TTS/tts/layers/glow_tts/encoder.py index f4f80ee5..6a5c2fad 100644 --- a/TTS/tts/layers/glow_tts/encoder.py +++ b/TTS/tts/layers/glow_tts/encoder.py @@ -94,49 +94,32 @@ class Encoder(nn.Module): # embedding layer self.emb = nn.Embedding(num_chars, hidden_channels) nn.init.normal_(self.emb.weight, 0.0, hidden_channels**-0.5) - # init encoder - if encoder_type.lower() == "transformer": - # optional convolutional prenet + # init encoder module + if encoder_type.lower() == "rel_pos_transformer": if use_prenet: - self.pre = ConvLayerNorm(hidden_channels, + self.prenet = ConvLayerNorm(hidden_channels, hidden_channels, hidden_channels, kernel_size=5, num_layers=3, dropout_p=0.5) - # text encoder - self.encoder = Transformer( - hidden_channels, - hidden_channels_ffn, - num_heads, - num_layers, - kernel_size=3, - dropout_p=dropout_p, - rel_attn_window_size=rel_attn_window_size, - input_length=input_length) + self.encoder = RelativePositionTransformer( + hidden_channels, **encoder_params) elif encoder_type.lower() == 'gated_conv': - self.encoder = GatedConvBlock(hidden_channels, - kernel_size=5, - dropout_p=dropout_p, - num_layers=3 + num_layers) + self.encoder = GatedConvBlock(hidden_channels, **encoder_params) elif encoder_type.lower() == 'residual_conv_bn': if use_prenet: - self.pre = nn.Sequential( + self.prenet = nn.Sequential( nn.Conv1d(hidden_channels, hidden_channels, 1), nn.ReLU() ) - dilations = 4 * [1, 2, 4] + [1] - num_conv_blocks = 2 - num_res_blocks = 13 # total 2 * 13 blocks - self.encoder = ResidualConvBNBlock(hidden_channels, - kernel_size=4, - dilations=dilations, - num_res_blocks=num_res_blocks, - num_conv_blocks=num_conv_blocks) + self.encoder = ResidualConvBNBlock(hidden_channels, **encoder_params) + self.postnet = nn.Sequential( + nn.Conv1d(self.hidden_channels, self.hidden_channels, 1), + nn.BatchNorm1d(self.hidden_channels)) elif encoder_type.lower() == 'time_depth_separable': - # optional convolutional prenet if use_prenet: - self.pre = ConvLayerNorm(hidden_channels, + self.prenet = ConvLayerNorm(hidden_channels, hidden_channels, hidden_channels, kernel_size=5, @@ -145,8 +128,7 @@ class Encoder(nn.Module): self.encoder = TimeDepthSeparableConvBlock(hidden_channels, hidden_channels, hidden_channels, - kernel_size=5, - num_layers=3 + num_layers) + **encoder_params) else: raise ValueError(" [!] Unkown encoder type.") @@ -157,7 +139,7 @@ class Encoder(nn.Module): # duration predictor self.duration_predictor = DurationPredictor( hidden_channels + c_in_channels, hidden_channels_dp, 3, - dropout_p) + dropout_p_dp) def forward(self, x, x_lengths, g=None): # embedding layer @@ -168,11 +150,14 @@ class Encoder(nn.Module): # compute input sequence mask x_mask = torch.unsqueeze(sequence_mask(x_lengths, x.size(2)), 1).to(x.dtype) - # pre-conv layers - if hasattr(self, 'pre') and self.use_prenet: - x = self.pre(x, x_mask) + # prenet + if hasattr(self, 'prenet') and self.use_prenet: + x = self.prenet(x, x_mask) # encoder x = self.encoder(x, x_mask) + # postnet + if hasattr(self, 'postnet'): + x = self.postnet(x) * x_mask # set duration predictor input if g is not None: g_exp = g.expand(-1, -1, x.size(-1)) diff --git a/TTS/tts/layers/glow_tts/glow.py b/TTS/tts/layers/glow_tts/glow.py index eba593dc..2a2ff189 100644 --- a/TTS/tts/layers/glow_tts/glow.py +++ b/TTS/tts/layers/glow_tts/glow.py @@ -1,6 +1,7 @@ import torch from torch import nn from torch.nn import functional as F +from TTS.tts.layers.generic.wavenet import WN from ..generic.normalization import LayerNorm @@ -50,104 +51,6 @@ class ConvLayerNorm(nn.Module): return x * x_mask -@torch.jit.script -def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels): - n_channels_int = n_channels[0] - in_act = input_a + input_b - t_act = torch.tanh(in_act[:, :n_channels_int, :]) - s_act = torch.sigmoid(in_act[:, n_channels_int:, :]) - acts = t_act * s_act - return acts - - -class WN(torch.nn.Module): - def __init__(self, - in_channels, - hidden_channels, - kernel_size, - dilation_rate, - num_layers, - c_in_channels=0, - dropout_p=0): - super().__init__() - assert kernel_size % 2 == 1 - assert hidden_channels % 2 == 0 - self.in_channels = in_channels - self.hidden_channels = hidden_channels - self.kernel_size = kernel_size - self.dilation_rate = dilation_rate - self.num_layers = num_layers - self.c_in_channels = c_in_channels - self.dropout_p = dropout_p - - self.in_layers = torch.nn.ModuleList() - self.res_skip_layers = torch.nn.ModuleList() - self.dropout = nn.Dropout(dropout_p) - - if c_in_channels > 0: - cond_layer = torch.nn.Conv1d(c_in_channels, - 2 * hidden_channels * num_layers, 1) - self.cond_layer = torch.nn.utils.weight_norm(cond_layer, - name='weight') - - for i in range(num_layers): - dilation = dilation_rate**i - padding = int((kernel_size * dilation - dilation) / 2) - in_layer = torch.nn.Conv1d(hidden_channels, - 2 * hidden_channels, - kernel_size, - dilation=dilation, - padding=padding) - in_layer = torch.nn.utils.weight_norm(in_layer, name='weight') - self.in_layers.append(in_layer) - - if i < num_layers - 1: - res_skip_channels = 2 * hidden_channels - else: - res_skip_channels = hidden_channels - - res_skip_layer = torch.nn.Conv1d(hidden_channels, - res_skip_channels, 1) - res_skip_layer = torch.nn.utils.weight_norm(res_skip_layer, - name='weight') - self.res_skip_layers.append(res_skip_layer) - - def forward(self, x, x_mask=None, g=None, **kwargs): # pylint: disable=unused-argument - output = torch.zeros_like(x) - n_channels_tensor = torch.IntTensor([self.hidden_channels]) - - if g is not None: - g = self.cond_layer(g) - - for i in range(self.num_layers): - x_in = self.in_layers[i](x) - x_in = self.dropout(x_in) - if g is not None: - cond_offset = i * 2 * self.hidden_channels - g_l = g[:, - cond_offset:cond_offset + 2 * self.hidden_channels, :] - else: - g_l = torch.zeros_like(x_in) - - acts = fused_add_tanh_sigmoid_multiply(x_in, g_l, - n_channels_tensor) - - res_skip_acts = self.res_skip_layers[i](acts) - if i < self.num_layers - 1: - x = (x + res_skip_acts[:, :self.hidden_channels, :]) * x_mask - output = output + res_skip_acts[:, self.hidden_channels:, :] - else: - output = output + res_skip_acts - return output * x_mask - - def remove_weight_norm(self): - if self.c_in_channels != 0: - torch.nn.utils.remove_weight_norm(self.cond_layer) - for l in self.in_layers: - torch.nn.utils.remove_weight_norm(l) - for l in self.res_skip_layers: - torch.nn.utils.remove_weight_norm(l) - class InvConvNear(nn.Module): def __init__(self, channels, num_splits=4, no_jacobian=False, **kwargs): # pylint: disable=unused-argument super().__init__() @@ -166,7 +69,7 @@ class InvConvNear(nn.Module): def forward(self, x, x_mask=None, reverse=False, **kwargs): # pylint: disable=unused-argument """Split the input into groups of size self.num_splits and perform 1x1 convolution separately. Cast 1x1 conv operation - to 2d by reshaping the input for efficienty. + to 2d by reshaping the input for efficiency. """ b, c, t = x.size() diff --git a/TTS/tts/layers/glow_tts/transformer.py b/TTS/tts/layers/glow_tts/transformer.py index cc61c760..291c845a 100644 --- a/TTS/tts/layers/glow_tts/transformer.py +++ b/TTS/tts/layers/glow_tts/transformer.py @@ -81,7 +81,7 @@ class RelativePositionMultiHeadAttention(nn.Module): # compute raw attention scores scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt( self.k_channels) - # relative positional encoding + # relative positional encoding for scores if self.rel_attn_window_size is not None: assert t_s == t_t, "Relative attention is only available for self-attention." # get relative key embeddings @@ -262,7 +262,7 @@ class FFN(nn.Module): return x * x_mask -class Transformer(nn.Module): +class RelativePositionTransformer(nn.Module): def __init__(self, hidden_channels, hidden_channels_ffn, diff --git a/TTS/tts/models/glow_tts.py b/TTS/tts/models/glow_tts.py index 9f157ded..af5979dd 100644 --- a/TTS/tts/models/glow_tts.py +++ b/TTS/tts/models/glow_tts.py @@ -10,44 +10,59 @@ from TTS.tts.layers.glow_tts.monotonic_align import maximum_path, generate_path class GlowTts(nn.Module): - """Glow TTS models from https://arxiv.org/abs/2005.11129""" + """Glow TTS models from https://arxiv.org/abs/2005.11129 + + Args: + num_chars (int): number of embedding characters. + hidden_channels_enc (int): number of embedding and encoder channels. + hidden_channels_dec (int): number of decoder channels. + use_encoder_prenet (bool): enable/disable prenet for encoder. Prenet modules are hard-coded for each alternative encoder. + hidden_channels_dp (int): number of duration predictor channels. + out_channels (int): number of output channels. It should be equal to the number of spectrogram filter. + num_flow_blocks_dec (int): number of decoder blocks. + kernel_size_dec (int): decoder kernel size. + dilation_rate (int): rate to increase dilation by each layer in a decoder block. + num_block_layers (int): number of decoder layers in each decoder block. + dropout_p_dec (float): dropout rate for decoder. + num_speaker (int): number of speaker to define the size of speaker embedding layer. + c_in_channels (int): number of speaker embedding channels. It is set to 512 if embeddings are learned. + num_splits (int): number of split levels in inversible conv1x1 operation. + num_squeeze (int): number of squeeze levels. When squeezing channels increases and time steps reduces by the factor 'num_squeeze'. + sigmoid_scale (bool): enable/disable sigmoid scaling in decoder. + mean_only (bool): if True, encoder only computes mean value and uses constant variance for each time step. + encoder_type (str): encoder module type. + encoder_params (dict): encoder module parameters. + external_speaker_embedding_dim (int): channels of external speaker embedding vectors. + """ def __init__(self, num_chars, - hidden_channels, - hidden_channels_ffn, + hidden_channels_enc, + hidden_channels_dec, + use_encoder_prenet, hidden_channels_dp, out_channels, - num_heads=2, - num_layers_enc=6, - dropout_p=0.1, num_flow_blocks_dec=12, kernel_size_dec=5, dilation_rate=5, num_block_layers=4, - dropout_p_dec=0., + dropout_p_dp=0.1, + dropout_p_dec=0.05, num_speakers=0, c_in_channels=0, num_splits=4, - num_sqz=1, + num_squeeze=1, sigmoid_scale=False, - rel_attn_window_size=None, - input_length=None, mean_only=False, - hidden_channels_enc=None, - hidden_channels_dec=None, - use_encoder_prenet=False, encoder_type="transformer", + encoder_params=None, external_speaker_embedding_dim=None): super().__init__() self.num_chars = num_chars - self.hidden_channels = hidden_channels - self.hidden_channels_ffn = hidden_channels_ffn self.hidden_channels_dp = hidden_channels_dp + self.hidden_channels_enc = hidden_channels_enc + self.hidden_channels_dec = hidden_channels_dec self.out_channels = out_channels - self.num_heads = num_heads - self.num_layers_enc = num_layers_enc - self.dropout_p = dropout_p self.num_flow_blocks_dec = num_flow_blocks_dec self.kernel_size_dec = kernel_size_dec self.dilation_rate = dilation_rate @@ -56,16 +71,14 @@ class GlowTts(nn.Module): self.num_speakers = num_speakers self.c_in_channels = c_in_channels self.num_splits = num_splits - self.num_sqz = num_sqz + self.num_squeeze = num_squeeze self.sigmoid_scale = sigmoid_scale - self.rel_attn_window_size = rel_attn_window_size - self.input_length = input_length self.mean_only = mean_only - self.hidden_channels_enc = hidden_channels_enc - self.hidden_channels_dec = hidden_channels_dec self.use_encoder_prenet = use_encoder_prenet - self.noise_scale = 0.66 - self.length_scale = 1. + + # model constants. + self.noise_scale = 0.33 # defines the noise variance applied to the random z vector at inference. + self.length_scale = 1. # scaler for the duration predictor. The larger it is, the slower the speech. self.external_speaker_embedding_dim = external_speaker_embedding_dim # if is a multispeaker and c_in_channels is 0, set to 256 @@ -77,27 +90,24 @@ class GlowTts(nn.Module): self.encoder = Encoder(num_chars, out_channels=out_channels, - hidden_channels=hidden_channels, - hidden_channels_ffn=hidden_channels_ffn, + hidden_channels=hidden_channels_enc, hidden_channels_dp=hidden_channels_dp, encoder_type=encoder_type, - num_heads=num_heads, - num_layers=num_layers_enc, - dropout_p=dropout_p, - rel_attn_window_size=rel_attn_window_size, + encoder_params=encoder_params, mean_only=mean_only, use_prenet=use_encoder_prenet, + dropout_p_dp=dropout_p_dp, c_in_channels=self.c_in_channels) self.decoder = Decoder(out_channels, - hidden_channels_dec or hidden_channels, + hidden_channels_dec, kernel_size_dec, dilation_rate, num_flow_blocks_dec, num_block_layers, dropout_p=dropout_p_dec, num_splits=num_splits, - num_sqz=num_sqz, + num_squeeze=num_squeeze, sigmoid_scale=sigmoid_scale, c_in_channels=self.c_in_channels) @@ -140,7 +150,7 @@ class GlowTts(nn.Module): o_mean, o_log_scale, o_dur_log, x_mask = self.encoder(x, x_lengths, g=g) - # drop redisual frames wrt num_sqz and set y_lengths. + # drop redisual frames wrt num_squeeze and set y_lengths. y, y_lengths, y_max_length, attn = self.preprocess( y, y_lengths, y_max_length, None) # create masks @@ -195,6 +205,7 @@ class GlowTts(nn.Module): attn_mask.squeeze(1)).unsqueeze(1) y_mean, y_log_scale, o_attn_dur = self.compute_outputs( attn, o_mean, o_log_scale, x_mask) + z = (y_mean + torch.exp(y_log_scale) * torch.randn_like(y_mean) * self.noise_scale) * y_mask # decoder pass @@ -204,11 +215,11 @@ class GlowTts(nn.Module): def preprocess(self, y, y_lengths, y_max_length, attn=None): if y_max_length is not None: - y_max_length = (y_max_length // self.num_sqz) * self.num_sqz + y_max_length = (y_max_length // self.num_squeeze) * self.num_squeeze y = y[:, :, :y_max_length] if attn is not None: attn = attn[:, :, :, :y_max_length] - y_lengths = (y_lengths // self.num_sqz) * self.num_sqz + y_lengths = (y_lengths // self.num_squeeze) * self.num_squeeze return y, y_lengths, y_max_length, attn def store_inverse(self): diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 568fc8c6..19ce7a16 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -103,15 +103,12 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): speaker_embedding_dim=speaker_embedding_dim) elif c.model.lower() == "glow_tts": model = MyModel(num_chars=num_chars + getattr(c, "add_blank", False), - hidden_channels=192, - hidden_channels_ffn=768, - hidden_channels_dp=256, + hidden_channels_enc=c['hidden_channels_encoder'], + hidden_channels_dec=c['hidden_channels_decoder'], + hidden_channels_dp=c['hidden_channels_duration_predictor'], out_channels=c.audio['num_mels'], - num_heads=2, - num_layers_enc=6, encoder_type=c.encoder_type, - rel_attn_window_size=4, - dropout_p=0.1, + encoder_params=c.encoder_params, num_flow_blocks_dec=12, kernel_size_dec=5, dilation_rate=1, From 7586fbc4dec8cf68118e1d79c14da86664159206 Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 5 Jan 2021 14:31:11 +0100 Subject: [PATCH 083/108] SS refactoring --- TTS/tts/layers/speedy_speech/decoder.py | 17 +++++++++++++++-- TTS/tts/models/speedy_speech.py | 4 ++-- TTS/tts/utils/generic_utils.py | 10 ++++------ TTS/utils/io.py | 7 ++++--- 4 files changed, 25 insertions(+), 13 deletions(-) diff --git a/TTS/tts/layers/speedy_speech/decoder.py b/TTS/tts/layers/speedy_speech/decoder.py index 0b928de7..bf23f603 100644 --- a/TTS/tts/layers/speedy_speech/decoder.py +++ b/TTS/tts/layers/speedy_speech/decoder.py @@ -1,5 +1,6 @@ from torch import nn from TTS.tts.layers.generic.res_conv_bn import ConvBNBlock, ResidualConvBNBlock +from TTS.tts.layers.generic.wavenet import WNBlocks from TTS.tts.layers.glow_tts.transformer import Transformer @@ -19,7 +20,7 @@ class Decoder(nn.Module): Default decoder_params... for 'transformer' - encoder_params={ + decoder_params={ 'hidden_channels_ffn': 128, 'num_heads': 2, "kernel_size": 3, @@ -30,12 +31,22 @@ class Decoder(nn.Module): }, for 'residual_conv_bn' - encoder_params = { + decoder_params = { "kernel_size": 4, "dilations": 4 * [1, 2, 4, 8] + [1], "num_conv_blocks": 2, "num_res_blocks": 17 } + + for 'wavenet' + decoder_params = { + "num_blocks": 12, + "hidden_channels":192, + "kernel_size": 5, + "dilation_rate": 1, + "num_layers": 4, + "dropout_p": 0.05 + } """ # pylint: disable=dangerous-default-value def __init__( @@ -60,6 +71,8 @@ class Decoder(nn.Module): elif decoder_type == 'residual_conv_bn': self.decoder = ResidualConvBNBlock(self.hidden_channels, **decoder_params) + elif decoder_type == 'wavenet': + self.decoder = WNBlocks(in_channels=self.in_channels, hidden_channels=self.hidden_channels, **decoder_params) else: raise ValueError(f'[!] Unknown decoder type - {decoder_type}') diff --git a/TTS/tts/models/speedy_speech.py b/TTS/tts/models/speedy_speech.py index 53b68ab1..319d6064 100644 --- a/TTS/tts/models/speedy_speech.py +++ b/TTS/tts/models/speedy_speech.py @@ -24,7 +24,7 @@ class SpeedySpeech(nn.Module): "num_res_blocks": 13 }, decoder_type='residual_conv_bn', - decoder_residual_conv_bn_params={ + decoder_params={ "kernel_size": 4, "dilations": 4 * [1, 2, 4, 8] + [1], "num_conv_blocks": 2, @@ -41,7 +41,7 @@ class SpeedySpeech(nn.Module): if positional_encoding: self.pos_encoder = PositionalEncoding(hidden_channels) self.decoder = Decoder(out_channels, hidden_channels, - decoder_type, decoder_residual_conv_bn_params) + decoder_type, decoder_params) self.duration_predictor = DurationPredictor(hidden_channels + c_in_channels) if num_speakers > 1 and not external_c: diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 19ce7a16..032df71d 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -117,22 +117,20 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): num_speakers=num_speakers, c_in_channels=0, num_splits=4, - num_sqz=2, + num_squeeze=2, sigmoid_scale=False, mean_only=True, - hidden_channels_enc=192, - hidden_channels_dec=192, - use_encoder_prenet=True, + use_encoder_prenet=c["use_encoder_prenet"], external_speaker_embedding_dim=speaker_embedding_dim) elif c.model.lower() == "speedy_speech": model = MyModel(num_chars=num_chars + getattr(c, "add_blank", False), out_channels=c.audio['num_mels'], - hidden_channels=128, + hidden_channels=c['hidden_channels'], positional_encoding=c['positional_encoding'], encoder_type=c['encoder_type'], encoder_params=c['encoder_params'], decoder_type=c['decoder_type'], - decoder_residual_conv_bn_params=c['decoder_residual_conv_bn_params'], + decoder_params=c['decoder_params'], c_in_channels=0) return model diff --git a/TTS/utils/io.py b/TTS/utils/io.py index 3fb7a92d..2c5c8e49 100644 --- a/TTS/utils/io.py +++ b/TTS/utils/io.py @@ -57,7 +57,7 @@ def copy_model_files(c, config_file, out_path, new_fields): in the config file. """ # copy config.json - copy_config_path = OUT_PATH + copy_config_path = os.path.join(out_path, 'config.json') config_lines = open(config_file, "r").readlines() # add extra information fields for key, value in new_fields.items(): @@ -70,5 +70,6 @@ def copy_model_files(c, config_file, out_path, new_fields): config_out_file.writelines(config_lines) config_out_file.close() # copy model stats file if available - copy_stats_path = os.path.join(out_path, 'scale_stats.npy') - copyfile(c.audio['stats_path'], copy_stats_path) + if c.audio['stats_path'] is not None: + copy_stats_path = os.path.join(out_path, 'scale_stats.npy') + copyfile(c.audio['stats_path'], copy_stats_path) From d3b7284be49551db1f1a8726b3974815573f1d7b Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 5 Jan 2021 15:31:46 +0100 Subject: [PATCH 084/108] glow-tts comments and refactoring --- TTS/tts/layers/glow_tts/glow.py | 76 ++++++++++++++++++++++++--------- 1 file changed, 56 insertions(+), 20 deletions(-) diff --git a/TTS/tts/layers/glow_tts/glow.py b/TTS/tts/layers/glow_tts/glow.py index 2a2ff189..f130e26a 100644 --- a/TTS/tts/layers/glow_tts/glow.py +++ b/TTS/tts/layers/glow_tts/glow.py @@ -7,6 +7,11 @@ from ..generic.normalization import LayerNorm class ConvLayerNorm(nn.Module): + """Residual Convolution with LayerNorm + x -> conv1d -> layer_norm -> dropout -> + -> o + | | + ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯ + """ def __init__(self, in_channels, hidden_channels, out_channels, kernel_size, num_layers, dropout_p): super().__init__() @@ -22,16 +27,9 @@ class ConvLayerNorm(nn.Module): self.conv_layers = nn.ModuleList() self.norm_layers = nn.ModuleList() - self.conv_layers.append( - nn.Conv1d(in_channels, - hidden_channels, - kernel_size, - padding=kernel_size // 2)) - self.norm_layers.append(LayerNorm(hidden_channels)) - - for _ in range(num_layers - 1): + for idx in range(num_layers - 1): self.conv_layers.append( - nn.Conv1d(hidden_channels, + nn.Conv1d(in_channels if idx == 0 else hidden_channels, hidden_channels, kernel_size, padding=kernel_size // 2)) @@ -52,6 +50,17 @@ class ConvLayerNorm(nn.Module): class InvConvNear(nn.Module): + """Inversible Convolution with splitting. + Args: + channels (int): input and output channels. + num_splits (int): number of splits, also H and W of conv layer. + no_jacobian (bool): enable/disable jacobian computations. + + Note: + Split the input into groups of size self.num_splits and + perform 1x1 convolution separately. Cast 1x1 conv operation + to 2d by reshaping the input for efficiency. + """ def __init__(self, channels, num_splits=4, no_jacobian=False, **kwargs): # pylint: disable=unused-argument super().__init__() assert num_splits % 2 == 0 @@ -67,9 +76,10 @@ class InvConvNear(nn.Module): self.weight = nn.Parameter(w_init) def forward(self, x, x_mask=None, reverse=False, **kwargs): # pylint: disable=unused-argument - """Split the input into groups of size self.num_splits and - perform 1x1 convolution separately. Cast 1x1 conv operation - to 2d by reshaping the input for efficiency. + """ + Shapes: + x: B x C x T + x_mask: B x 1 x T """ b, c, t = x.size() @@ -112,6 +122,25 @@ class InvConvNear(nn.Module): class CouplingBlock(nn.Module): + """Glow Affine Coupling block. + For details https://arxiv.org/pdf/1811.00002.pdf + + x --> x0 -> conv1d -> wavenet -> conv1d --> t, s -> concat(s*x1 + t, x0) -> o + '-> x1 - - - - - - - - - - - - - - - - - - - - - - - - - ^ + + Args: + in_channels (int): number of input tensor channels. + hidden_channels (int): number of hidden channels. + kernel_size (int): WaveNet filter kernel size. + dilation_rate (int): rate to increase dilation by each layer in a decoder block. + num_layers (int): number of WaveNet layers. + c_in_channels (int): number of conditioning input channels. + dropout_p (int): wavenet dropout rate. + sigmoid_scale (bool): enable/disable sigmoid scaling for output scale. + + Note: + It does not use conditional inputs differently from WaveGlow. + """ def __init__(self, in_channels, hidden_channels, @@ -130,21 +159,28 @@ class CouplingBlock(nn.Module): self.c_in_channels = c_in_channels self.dropout_p = dropout_p self.sigmoid_scale = sigmoid_scale - + # input layer start = torch.nn.Conv1d(in_channels // 2, hidden_channels, 1) start = torch.nn.utils.weight_norm(start) self.start = start + # output layer # Initializing last layer to 0 makes the affine coupling layers # do nothing at first. This helps with training stability end = torch.nn.Conv1d(hidden_channels, in_channels, 1) end.weight.data.zero_() end.bias.data.zero_() self.end = end - + # coupling layers self.wn = WN(in_channels, hidden_channels, kernel_size, dilation_rate, num_layers, c_in_channels, dropout_p) def forward(self, x, x_mask=None, reverse=False, g=None, **kwargs): # pylint: disable=unused-argument + """ + Shapes: + x: B x C x T + x_mask: B x 1 x T + g: B x C x 1 + """ if x_mask is None: x_mask = 1 x_0, x_1 = x[:, :self.in_channels // 2], x[:, self.in_channels // 2:] @@ -154,17 +190,17 @@ class CouplingBlock(nn.Module): out = self.end(x) z_0 = x_0 - m = out[:, :self.in_channels // 2, :] - logs = out[:, self.in_channels // 2:, :] + t = out[:, :self.in_channels // 2, :] + s = out[:, self.in_channels // 2:, :] if self.sigmoid_scale: - logs = torch.log(1e-6 + torch.sigmoid(logs + 2)) + s = torch.log(1e-6 + torch.sigmoid(s + 2)) if reverse: - z_1 = (x_1 - m) * torch.exp(-logs) * x_mask + z_1 = (x_1 - t) * torch.exp(-s) * x_mask logdet = None else: - z_1 = (m + torch.exp(logs) * x_1) * x_mask - logdet = torch.sum(logs * x_mask, [1, 2]) + z_1 = (t + torch.exp(s) * x_1) * x_mask + logdet = torch.sum(s * x_mask, [1, 2]) z = torch.cat([z_0, z_1], 1) return z, logdet From e7fad928e7f81b00af8ec93dfe1b117795edab34 Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 6 Jan 2021 12:36:52 +0100 Subject: [PATCH 085/108] doc strings for the all glow-tts layers --- TTS/tts/layers/glow_tts/duration_predictor.py | 17 ++++ TTS/tts/layers/glow_tts/encoder.py | 6 ++ TTS/tts/layers/glow_tts/transformer.py | 81 +++++++++++++++++-- TTS/tts/utils/io.py | 49 +++++++++++ 4 files changed, 145 insertions(+), 8 deletions(-) diff --git a/TTS/tts/layers/glow_tts/duration_predictor.py b/TTS/tts/layers/glow_tts/duration_predictor.py index a83bb292..a08f64a8 100644 --- a/TTS/tts/layers/glow_tts/duration_predictor.py +++ b/TTS/tts/layers/glow_tts/duration_predictor.py @@ -5,6 +5,15 @@ from ..generic.normalization import LayerNorm class DurationPredictor(nn.Module): + """Glow-TTS duration prediction model. + [2 x (conv1d_kxk -> relu -> layer_norm -> dropout)] -> conv1d_1x1 -> durs + + Args: + in_channels ([type]): [description] + hidden_channels ([type]): [description] + kernel_size ([type]): [description] + dropout_p ([type]): [description] + """ def __init__(self, in_channels, hidden_channels, kernel_size, dropout_p): super().__init__() # class arguments @@ -28,6 +37,14 @@ class DurationPredictor(nn.Module): self.proj = nn.Conv1d(hidden_channels, 1, 1) def forward(self, x, x_mask): + """ + Shapes: + x: [B, C, T] + x_mask: [B, 1, T] + + Returns: + [type]: [description] + """ x = self.conv_1(x * x_mask) x = torch.relu(x) x = self.norm_1(x) diff --git a/TTS/tts/layers/glow_tts/encoder.py b/TTS/tts/layers/glow_tts/encoder.py index 6a5c2fad..ab7aaba5 100644 --- a/TTS/tts/layers/glow_tts/encoder.py +++ b/TTS/tts/layers/glow_tts/encoder.py @@ -142,6 +142,12 @@ class Encoder(nn.Module): dropout_p_dp) def forward(self, x, x_lengths, g=None): + """ + Shapes: + x: [B, C, T] + x_lengths: [B] + g (optional): [B, 1, T] + """ # embedding layer # [B ,T, D] x = self.emb(x) * math.sqrt(self.hidden_channels) diff --git a/TTS/tts/layers/glow_tts/transformer.py b/TTS/tts/layers/glow_tts/transformer.py index 291c845a..826913c1 100644 --- a/TTS/tts/layers/glow_tts/transformer.py +++ b/TTS/tts/layers/glow_tts/transformer.py @@ -7,8 +7,46 @@ from TTS.tts.layers.glow_tts.glow import LayerNorm class RelativePositionMultiHeadAttention(nn.Module): - """Implementation of Relative Position Encoding based on + """Multi-head attention with Relative Positional embedding. https://arxiv.org/pdf/1809.04281.pdf + + It learns positional embeddings for a window of neighbours. For keys and values, + it learns different set of embeddings. Key embeddings are agregated with the attention + scores and value embeddings are aggregated with the output. + + Note: + Example with relative attention window size 2 + input = [a, b, c, d, e] + rel_attn_embeddings = [e(t-2), e(t-1), e(t+1), e(t+2)] + + So it learns 4 embedding vectors (in total 8) separately for key and value vectors. + + Considering the input c + e(t-2) corresponds to c -> a + e(t-2) corresponds to c -> b + e(t-2) corresponds to c -> d + e(t-2) corresponds to c -> e + + These embeddings are shared among different time steps. So input a, b, d and e also uses + the same embeddings. + + Embeddings are ignored when the relative window is out of limit for the first and the last + n items. + + Args: + channels (int): input and inner layer channels. + out_channels (int): output channels. + num_heads (int): number of attention heads. + rel_attn_window_size (int, optional): relation attention window size. + If 4, for each time step next and previous 4 time steps are attended. + If default, relative encoding is disabled and it is a regular transformer. + Defaults to None. + heads_share (bool, optional): [description]. Defaults to True. + dropout_p (float, optional): dropout rate. Defaults to 0.. + input_length (int, optional): intput length for positional encoding. Defaults to None. + proximal_bias (bool, optional): enable/disable proximal bias as in the paper. Defaults to False. + proximal_init (bool, optional): enable/disable poximal init as in the paper. + Init key and query layer weights the same. Defaults to False. """ def __init__(self, channels, @@ -20,6 +58,7 @@ class RelativePositionMultiHeadAttention(nn.Module): input_length=None, proximal_bias=False, proximal_init=False): + super().__init__() assert channels % num_heads == 0, " [!] channels should be divisible by num_heads." # class attributes @@ -226,20 +265,28 @@ class RelativePositionMultiHeadAttention(nn.Module): class FFN(nn.Module): + """Feed Forward Inner layers for Transformer. + + Args: + in_channels (int): input tensor channels. + out_channels (int): output tensor channels. + hidden_channels (int): inner layers hidden channels. + kernel_size (int): conv1d filter kernel size. + dropout_p (float, optional): dropout rate. Defaults to 0. + """ def __init__(self, in_channels, out_channels, hidden_channels, kernel_size, - dropout_p=0., - activation=None): + dropout_p=0.): + super().__init__() self.in_channels = in_channels self.out_channels = out_channels self.hidden_channels = hidden_channels self.kernel_size = kernel_size self.dropout_p = dropout_p - self.activation = activation self.conv_1 = nn.Conv1d(in_channels, hidden_channels, @@ -253,16 +300,29 @@ class FFN(nn.Module): def forward(self, x, x_mask): x = self.conv_1(x * x_mask) - if self.activation == "gelu": - x = x * torch.sigmoid(1.702 * x) - else: - x = torch.relu(x) + x = torch.relu(x) x = self.dropout(x) x = self.conv_2(x * x_mask) return x * x_mask class RelativePositionTransformer(nn.Module): + """Transformer with Relative Potional Encoding. + https://arxiv.org/abs/1803.02155 + + Args: + hidden_channels (int): model hidden channels. + hidden_channels_ffn (int): hidden channels of FeedForwardNetwork. + num_heads (int): number of attention heads. + num_layers (int): number of transformer layers. + kernel_size (int, optional): kernel size of feed-forward inner layers. Defaults to 1. + dropout_p (float, optional): dropout rate for self-attention and feed-forward inner layers_per_stack. Defaults to 0. + rel_attn_window_size (int, optional): relation attention window size. + If 4, for each time step next and previous 4 time steps are attended. + If default, relative encoding is disabled and it is a regular transformer. + Defaults to None. + input_length (int, optional): input lenght to limit position encoding. Defaults to None. + """ def __init__(self, hidden_channels, hidden_channels_ffn, @@ -305,6 +365,11 @@ class RelativePositionTransformer(nn.Module): self.norm_layers_2.append(LayerNorm(hidden_channels)) def forward(self, x, x_mask): + """ + Shapes: + x: [B, C, T] + x_mask: [B, 1, T] + """ attn_mask = x_mask.unsqueeze(2) * x_mask.unsqueeze(-1) for i in range(self.num_layers): x = x * x_mask diff --git a/TTS/tts/utils/io.py b/TTS/tts/utils/io.py index f84445d9..830529a3 100644 --- a/TTS/tts/utils/io.py +++ b/TTS/tts/utils/io.py @@ -8,6 +8,17 @@ from TTS.utils.io import RenamingUnpickler def load_checkpoint(model, checkpoint_path, amp=None, use_cuda=False): + """Load ```TTS.tts.models``` checkpoints. + + Args: + model (TTS.tts.models): model object to load the weights for. + checkpoint_path (string): checkpoint file path. + amp (apex.amp, optional): Apex amp abject to load apex related state vars. Defaults to None. + use_cuda (bool, optional): load model to GPU if True. Defaults to False. + + Returns: + [type]: [description] + """ try: state = torch.load(checkpoint_path, map_location=torch.device('cpu')) except ModuleNotFoundError: @@ -26,6 +37,17 @@ def load_checkpoint(model, checkpoint_path, amp=None, use_cuda=False): def save_model(model, optimizer, current_step, epoch, r, output_path, amp_state_dict=None, **kwargs): + """Save ```TTS.tts.models``` states with extra fields. + + Args: + model (TTS.tts.models.Model): models object to be saved. + optimizer (torch.optim.optimizers.Optimizer): model optimizer used for training. + current_step (int): current number of training steps. + epoch (int): current number of training epochs. + r (int): model reduction rate for Tacotron models. + output_path (str): output path to save the model file. + amp_state_dict (state_dict, optional): Apex.amp state dict if Apex is enabled. Defaults to None. + """ if hasattr(model, 'module'): model_state = model.module.state_dict() else: @@ -45,6 +67,16 @@ def save_model(model, optimizer, current_step, epoch, r, output_path, amp_state_ def save_checkpoint(model, optimizer, current_step, epoch, r, output_folder, **kwargs): + """Save model checkpoint, intended for saving checkpoints at training. + + Args: + model (TTS.tts.models.Model): models object to be saved. + optimizer (torch.optim.optimizers.Optimizer): model optimizer used for training. + current_step (int): current number of training steps. + epoch (int): current number of training epochs. + r (int): model reduction rate for Tacotron models. + output_path (str): output path to save the model file. + """ file_name = 'checkpoint_{}.pth.tar'.format(current_step) checkpoint_path = os.path.join(output_folder, file_name) print(" > CHECKPOINT : {}".format(checkpoint_path)) @@ -52,6 +84,23 @@ def save_checkpoint(model, optimizer, current_step, epoch, r, output_folder, **k def save_best_model(target_loss, best_loss, model, optimizer, current_step, epoch, r, output_folder, **kwargs): + """Save model checkpoint, intended for saving the best model after each epoch. + It compares the current model loss with the best loss so far and saves the + model if the current loss is better. + + Args: + target_loss (float): current model loss. + best_loss (float): best loss so far. + model (TTS.tts.models.Model): models object to be saved. + optimizer (torch.optim.optimizers.Optimizer): model optimizer used for training. + current_step (int): current number of training steps. + epoch (int): current number of training epochs. + r (int): model reduction rate for Tacotron models. + output_path (str): output path to save the model file. + + Returns: + float: updated current best loss. + """ if target_loss < best_loss: file_name = 'best_model.pth.tar' checkpoint_path = os.path.join(output_folder, file_name) From 5a45af48f1fcf03482943e33bd36a3b9cc36c7cc Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 6 Jan 2021 12:37:47 +0100 Subject: [PATCH 086/108] fix --- TTS/tts/layers/glow_tts/transformer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TTS/tts/layers/glow_tts/transformer.py b/TTS/tts/layers/glow_tts/transformer.py index 826913c1..b3a045e5 100644 --- a/TTS/tts/layers/glow_tts/transformer.py +++ b/TTS/tts/layers/glow_tts/transformer.py @@ -7,7 +7,7 @@ from TTS.tts.layers.glow_tts.glow import LayerNorm class RelativePositionMultiHeadAttention(nn.Module): - """Multi-head attention with Relative Positional embedding. + """Multi-head attention with Relative Positional embedding. https://arxiv.org/pdf/1809.04281.pdf It learns positional embeddings for a window of neighbours. For keys and values, From f288e9a260249c5cb50f1805dc90137ff9422918 Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 6 Jan 2021 13:12:33 +0100 Subject: [PATCH 087/108] docstrings for taoctron models --- TTS/tts/models/tacotron.py | 39 +++++++++++++++++++++++++++++++++++++ TTS/tts/models/tacotron2.py | 37 +++++++++++++++++++++++++++++++++++ 2 files changed, 76 insertions(+) diff --git a/TTS/tts/models/tacotron.py b/TTS/tts/models/tacotron.py index 9ade8592..73434aa5 100644 --- a/TTS/tts/models/tacotron.py +++ b/TTS/tts/models/tacotron.py @@ -8,6 +8,45 @@ from TTS.tts.models.tacotron_abstract import TacotronAbstract class Tacotron(TacotronAbstract): + """Tacotron as in https://arxiv.org/abs/1703.10135 + + It's an autoregressive encoder-attention-decoder-postnet architecture. + + Args: + num_chars (int): number of input characters to define the size of embedding layer. + num_speakers (int): number of speakers in the dataset. >1 enables multi-speaker training and model learns speaker embeddings. + r (int): initial model reduction rate. + postnet_output_dim (int, optional): postnet output channels. Defaults to 80. + decoder_output_dim (int, optional): decoder output channels. Defaults to 80. + attn_type (str, optional): attention type. Check ```TTS.tts.layers.common_layers.init_attn```. Defaults to 'original'. + attn_win (bool, optional): enable/disable attention windowing. + It especially useful at inference to keep attention alignment diagonal. Defaults to False. + attn_norm (str, optional): Attention normalization method. "sigmoid" or "softmax". Defaults to "softmax". + prenet_type (str, optional): prenet type for the decoder. Defaults to "original". + prenet_dropout (bool, optional): prenet dropout rate. Defaults to True. + forward_attn (bool, optional): enable/disable forward attention. + It is only valid if ```attn_type``` is ```original```. Defaults to False. + trans_agent (bool, optional): enable/disable transition agent in forward attention. Defaults to False. + forward_attn_mask (bool, optional): enable/disable extra masking over forward attention. Defaults to False. + location_attn (bool, optional): enable/disable location sensitive attention. + It is only valid if ```attn_type``` is ```original```. Defaults to True. + attn_K (int, optional): Number of attention heads for GMM attention. Defaults to 5. + separate_stopnet (bool, optional): enable/disable separate stopnet training without only gradient + flow from stopnet to the rest of the model. Defaults to True. + bidirectional_decoder (bool, optional): enable/disable bidirectional decoding. Defaults to False. + double_decoder_consistency (bool, optional): enable/disable double decoder consistency. Defaults to False. + ddc_r (int, optional): reduction rate for the coarse decoder of double decoder consistency. Defaults to None. + encoder_in_features (int, optional): input channels for the encoder. Defaults to 512. + decoder_in_features (int, optional): input channels for the decoder. Defaults to 512. + speaker_embedding_dim (int, optional): external speaker conditioning vector channels. Defaults to None. + gst (bool, optional): enable/disable global style token learning. Defaults to False. + gst_embedding_dim (int, optional): size of channels for GST vectors. Defaults to 512. + gst_num_heads (int, optional): number of attention heads for GST. Defaults to 4. + gst_style_tokens (int, optional): number of GST tokens. Defaults to 10. + gst_use_speaker_embedding (bool, optional): enable/disable inputing speaker embedding to GST. Defaults to False. + memory_size (int, optional): size of the history queue fed to the prenet. Model feeds the last ```memory_size``` + output frames to the prenet. + """ def __init__(self, num_chars, num_speakers, diff --git a/TTS/tts/models/tacotron2.py b/TTS/tts/models/tacotron2.py index ab4d9056..317bdbc8 100644 --- a/TTS/tts/models/tacotron2.py +++ b/TTS/tts/models/tacotron2.py @@ -7,6 +7,43 @@ from TTS.tts.models.tacotron_abstract import TacotronAbstract # TODO: match function arguments with tacotron class Tacotron2(TacotronAbstract): + """Tacotron2 as in https://arxiv.org/abs/1712.05884 + + It's an autoregressive encoder-attention-decoder-postnet architecture. + + Args: + num_chars (int): number of input characters to define the size of embedding layer. + num_speakers (int): number of speakers in the dataset. >1 enables multi-speaker training and model learns speaker embeddings. + r (int): initial model reduction rate. + postnet_output_dim (int, optional): postnet output channels. Defaults to 80. + decoder_output_dim (int, optional): decoder output channels. Defaults to 80. + attn_type (str, optional): attention type. Check ```TTS.tts.layers.common_layers.init_attn```. Defaults to 'original'. + attn_win (bool, optional): enable/disable attention windowing. + It especially useful at inference to keep attention alignment diagonal. Defaults to False. + attn_norm (str, optional): Attention normalization method. "sigmoid" or "softmax". Defaults to "softmax". + prenet_type (str, optional): prenet type for the decoder. Defaults to "original". + prenet_dropout (bool, optional): prenet dropout rate. Defaults to True. + forward_attn (bool, optional): enable/disable forward attention. + It is only valid if ```attn_type``` is ```original```. Defaults to False. + trans_agent (bool, optional): enable/disable transition agent in forward attention. Defaults to False. + forward_attn_mask (bool, optional): enable/disable extra masking over forward attention. Defaults to False. + location_attn (bool, optional): enable/disable location sensitive attention. + It is only valid if ```attn_type``` is ```original```. Defaults to True. + attn_K (int, optional): Number of attention heads for GMM attention. Defaults to 5. + separate_stopnet (bool, optional): enable/disable separate stopnet training without only gradient + flow from stopnet to the rest of the model. Defaults to True. + bidirectional_decoder (bool, optional): enable/disable bidirectional decoding. Defaults to False. + double_decoder_consistency (bool, optional): enable/disable double decoder consistency. Defaults to False. + ddc_r (int, optional): reduction rate for the coarse decoder of double decoder consistency. Defaults to None. + encoder_in_features (int, optional): input channels for the encoder. Defaults to 512. + decoder_in_features (int, optional): input channels for the decoder. Defaults to 512. + speaker_embedding_dim (int, optional): external speaker conditioning vector channels. Defaults to None. + gst (bool, optional): enable/disable global style token learning. Defaults to False. + gst_embedding_dim (int, optional): size of channels for GST vectors. Defaults to 512. + gst_num_heads (int, optional): number of attention heads for GST. Defaults to 4. + gst_style_tokens (int, optional): number of GST tokens. Defaults to 10. + gst_use_speaker_embedding (bool, optional): enable/disable inputing speaker embedding to GST. Defaults to False. + """ def __init__(self, num_chars, num_speakers, From 14d33662ea7ec00da942bef53d571a20dac63804 Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 6 Jan 2021 13:15:56 +0100 Subject: [PATCH 088/108] input shapes for tacotron models --- TTS/tts/models/tacotron.py | 10 ++++++---- TTS/tts/models/tacotron2.py | 9 +++++++++ 2 files changed, 15 insertions(+), 4 deletions(-) diff --git a/TTS/tts/models/tacotron.py b/TTS/tts/models/tacotron.py index 73434aa5..61eea893 100644 --- a/TTS/tts/models/tacotron.py +++ b/TTS/tts/models/tacotron.py @@ -134,10 +134,12 @@ class Tacotron(TacotronAbstract): def forward(self, characters, text_lengths, mel_specs, mel_lengths=None, speaker_ids=None, speaker_embeddings=None): """ Shapes: - - characters: B x T_in - - text_lengths: B - - mel_specs: B x T_out x D - - speaker_ids: B x 1 + characters: [B, T_in] + text_lengths: [B] + mel_specs: [B, T_out, C] + mel_lengths: [B] + speaker_ids: [B, 1] + speaker_embeddings: [B, C] """ input_mask, output_mask = self.compute_masks(text_lengths, mel_lengths) # B x T_in x embed_dim diff --git a/TTS/tts/models/tacotron2.py b/TTS/tts/models/tacotron2.py index 317bdbc8..e56e4ca0 100644 --- a/TTS/tts/models/tacotron2.py +++ b/TTS/tts/models/tacotron2.py @@ -130,6 +130,15 @@ class Tacotron2(TacotronAbstract): return mel_outputs, mel_outputs_postnet, alignments def forward(self, text, text_lengths, mel_specs=None, mel_lengths=None, speaker_ids=None, speaker_embeddings=None): + """ + Shapes: + text: [B, T_in] + text_lengths: [B] + mel_specs: [B, T_out, C] + mel_lengths: [B] + speaker_ids: [B, 1] + speaker_embeddings: [B, C] + """ # compute mask for padding # B x T_in_max (boolean) input_mask, output_mask = self.compute_masks(text_lengths, mel_lengths) From b78aa5d322352a873a406fc2006be013eb8ba68f Mon Sep 17 00:00:00 2001 From: erogol Date: Wed, 6 Jan 2021 14:46:28 +0100 Subject: [PATCH 089/108] README update --- README.md | 127 +++++++++++++++++++++++------------------------------- 1 file changed, 54 insertions(+), 73 deletions(-) diff --git a/README.md b/README.md index 043f2b25..9733c966 100644 --- a/README.md +++ b/README.md @@ -1,60 +1,41 @@ -

+ -
+# TTS: Text-to-Speech for all. -

- mozilla - - -

+TTS is a library for advanced Text-to-Speech generation. It's built on the latest research, was designed to be achive the best trade-off among ease-of-training, speed and quality. +TTS comes with [pretrained models](https://github.com/mozilla/TTS/wiki/Released-Models), tools for measuring dataset quality and already used in **20+ languages** for products and research projects. -
+[![CircleCI]()]() +[![License]()](https://opensource.org/licenses/MPL-2.0) -TTS is a deep learning based Text2Speech project, low in cost and high in quality. +:loudspeaker: [English Voice Samples](https://erogol.github.io/ddc-samples/) and [SoundCloud playlist](https://soundcloud.com/user-565970875/pocket-article-wavernn-and-tacotron2) -English Voice Samples: https://erogol.github.io/ddc-samples/ +:man_cook: [TTS training recipes](https://github.com/erogol/TTS_recipes) -TTS training recipes: https://github.com/erogol/TTS_recipes +:page_facing_up: [Text-to-Speech paper collection](https://github.com/erogol/TTS-papers) -TTS paper collection: https://github.com/erogol/TTS-papers +## 💬 Where to ask questions +Please use our dedicated channels for questions and discussion. Help is much more valuable if it's shared publicly, so that more people can benefit from it. -[![](https://sourcerer.io/fame/erogol/erogol/TTS/images/0)](https://sourcerer.io/fame/erogol/erogol/TTS/links/0)[![](https://sourcerer.io/fame/erogol/erogol/TTS/images/1)](https://sourcerer.io/fame/erogol/erogol/TTS/links/1)[![](https://sourcerer.io/fame/erogol/erogol/TTS/images/2)](https://sourcerer.io/fame/erogol/erogol/TTS/links/2)[![](https://sourcerer.io/fame/erogol/erogol/TTS/images/3)](https://sourcerer.io/fame/erogol/erogol/TTS/links/3)[![](https://sourcerer.io/fame/erogol/erogol/TTS/images/4)](https://sourcerer.io/fame/erogol/erogol/TTS/links/4)[![](https://sourcerer.io/fame/erogol/erogol/TTS/images/5)](https://sourcerer.io/fame/erogol/erogol/TTS/links/5)[![](https://sourcerer.io/fame/erogol/erogol/TTS/images/6)](https://sourcerer.io/fame/erogol/erogol/TTS/links/6)[![](https://sourcerer.io/fame/erogol/erogol/TTS/images/7)](https://sourcerer.io/fame/erogol/erogol/TTS/links/7) +| Type | Platforms | +| ------------------------------- | --------------------------------------- | +| 🚨 **Bug Reports** | [GitHub Issue Tracker] | +| 🎁 **Feature Requests & Ideas** | [GitHub Issue Tracker] | +| 👩‍💻 **Usage Questions** | [Discourse Forum] | +| 🗯 **General Discussion** | [Discourse Forum] and [Matrix Channel] | -## TTS Performance +[github issue tracker]: https://github.com/mozilla/tts/issues +[discourse forum]: https://discourse.mozilla.org/c/tts/ +[matrix channel]: https://matrix.to/#/!KTePhNahjgiVumkqca:matrix.org?via=matrix.org + + +## 🥇 TTS Performance

"Mozilla*" and "Judy*" are our models. [Details...](https://github.com/mozilla/TTS/wiki/Mean-Opinion-Score-Results) -## Provided Models and Methods -Text-to-Spectrogram: -- Tacotron: [paper](https://arxiv.org/abs/1703.10135) -- Tacotron2: [paper](https://arxiv.org/abs/1712.05884) -- Glow-TTS: [paper](https://arxiv.org/abs/2005.11129) -- Speedy-Speech [paper](https://arxiv.org/pdf/2008.03802.pdf) - -Attention Methods: -- Guided Attention: [paper](https://arxiv.org/abs/1710.08969) -- Forward Backward Decoding: [paper](https://arxiv.org/abs/1907.09006) -- Graves Attention: [paper](https://arxiv.org/abs/1907.09006) -- Double Decoder Consistency: [blog](https://erogol.com/solving-attention-problems-of-tts-models-with-double-decoder-consistency/) -- Dynamic Convolutional Attention [paper](https://arxiv.org/abs/1910.10288) - -Speaker Encoder: -- GE2E: [paper](https://arxiv.org/abs/1710.10467) -- Angular-Prototypical [paper](https://arxiv.org/pdf/2003.11982.pdf) - -Vocoders: -- MelGAN: [paper](https://arxiv.org/abs/1710.10467) -- MultiBandMelGAN: [paper](https://arxiv.org/abs/2005.05106) -- ParallelWaveGAN: [paper](https://arxiv.org/abs/1910.11480) -- GAN-TTS discriminators: [paper](https://arxiv.org/abs/1909.11646) -- WaveRNN: [origin][https://github.com/fatchord/WaveRNN/] -- WaveGrad: [paper][https://arxiv.org/abs/2009.00713] - -You can also help us implement more models. Some TTS related work can be found [here](https://github.com/erogol/TTS-papers). - ## Features - High performance Deep Learning models for Text2Speech tasks. - Text2Spec models (Tacotron, Tacotron2). @@ -71,24 +52,35 @@ You can also help us implement more models. Some TTS related work can be found [ - Notebooks for extensive model benchmarking. - Modular (but not too much) code base enabling easy testing for new ideas. -## Main Requirements and Installation -Highly recommended to use [miniconda](https://conda.io/miniconda.html) for easier installation. - * python>=3.6 - * pytorch>=1.5.0 - * tensorflow>=2.3 - * librosa - * tensorboard - * tensorboardX - * matplotlib - * unidecode +## Implemented Models +### Text-to-Spectrogram +- Tacotron: [paper](https://arxiv.org/abs/1703.10135) +- Tacotron2: [paper](https://arxiv.org/abs/1712.05884) +- Glow-TTS: [paper](https://arxiv.org/abs/2005.11129) -Install TTS using ```setup.py```. It will install all of the requirements automatically and make TTS available to all the python environment as an ordinary python module. +### Attention Methods +- Guided Attention: [paper](https://arxiv.org/abs/1710.08969) +- Forward Backward Decoding: [paper](https://arxiv.org/abs/1907.09006) +- Graves Attention: [paper](https://arxiv.org/abs/1907.09006) +- Double Decoder Consistency: [blog](https://erogol.com/solving-attention-problems-of-tts-models-with-double-decoder-consistency/) -```python setup.py develop``` +### Speaker Encoder +- GE2E: [paper](https://arxiv.org/abs/1710.10467) -Or you can use ```requirements.txt``` to install the requirements only. +### Vocoders +- MelGAN: [paper](https://arxiv.org/abs/1710.10467) +- MultiBandMelGAN: [paper](https://arxiv.org/abs/2005.05106) +- ParallelWaveGAN: [paper](https://arxiv.org/abs/1910.11480) +- GAN-TTS discriminators: [paper](https://arxiv.org/abs/1909.11646) +- WaveRNN: [origin](https://github.com/fatchord/WaveRNN/) +- WaveGrad: [paper](https://arxiv.org/abs/2009.00713) -```pip install -r requirements.txt``` +You can also help us implement more models. Some TTS related work can be found [here](https://github.com/erogol/TTS-papers). + +## Install TTS +TTS supports **python >= 3.6**. + +```python setup.py install``` or ```python setup.py develop``` to keep your installation in your working directory. ### Directory Structure ``` @@ -114,7 +106,7 @@ Or you can use ```requirements.txt``` to install the requirements only. ### Docker A docker image is created by [@synesthesiam](https://github.com/synesthesiam) and shared in a separate [repository](https://github.com/synesthesiam/docker-mozillatts) with the latest LJSpeech models. -## Release Models +## Released Models Please visit [our wiki.](https://github.com/mozilla/TTS/wiki/Released-Models) ## Sample Model Output @@ -126,7 +118,7 @@ Audio examples: [soundcloud](https://soundcloud.com/user-565970875/pocket-articl example_output -## [Mozilla TTS Tutorials and Notebooks](https://github.com/mozilla/TTS/wiki/TTS-Notebooks-and-Tutorials) +## [TTS Tutorials and Notebooks](https://github.com/mozilla/TTS/wiki/TTS-Notebooks-and-Tutorials) ## Datasets and Data-Loading TTS provides a generic dataloader easy to use for your custom dataset. @@ -178,6 +170,7 @@ In case of any error or intercepted execution, if there is no checkpoint yet und You can also enjoy Tensorboard, if you point Tensorboard argument```--logdir``` to the experiment folder. ## Contribution guidelines +This repository is governed by Mozilla's code of conduct and etiquette guidelines. For more details, please read the [Mozilla Community Participation Guidelines.](https://www.mozilla.org/about/governance/policies/participation/) Please send your Pull Request to ```dev``` branch. Before making a Pull Request, check your changes for basic mistakes and style problems by using a linter. We have cardboardlinter setup in this repository, so for example, if you've made some changes and would like to run the linter on just the changed code, you can use the follow command: @@ -191,9 +184,8 @@ If you like to use TTS to try a new idea and like to share your experiments with (If you have an idea for better collaboration, let us know) - Create a new branch. - Open an issue pointing your branch. -- Explain your experiment. -- Share your results as you proceed. (Tensorboard log files, audio results, visuals etc.) -- Use LJSpeech dataset (for English) if you like to compare results with the released models. (It is the most open scalable dataset for quick experimentation) +- Explain your idea and experiment. +- Share your results regularly. (Tensorboard log files, audio results, visuals etc.) ## [Contact/Getting Help](https://github.com/mozilla/TTS/wiki/Contact-and-Getting-Help) @@ -207,17 +199,6 @@ If you like to use TTS to try a new idea and like to share your experiments with - [x] Multi-speaker embedding. - [x] Model optimization (model export, model pruning etc.) - - ### Acknowledgement - https://github.com/keithito/tacotron (Dataset pre-processing) - https://github.com/r9y9/tacotron_pytorch (Initial Tacotron architecture) From de2a542f8369c488c3cc6672be4307711a61cbc5 Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 7 Jan 2021 13:40:32 +0100 Subject: [PATCH 090/108] glow-tts bug fix --- TTS/tts/layers/glow_tts/glow.py | 2 +- TTS/tts/utils/generic_utils.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/TTS/tts/layers/glow_tts/glow.py b/TTS/tts/layers/glow_tts/glow.py index f130e26a..07826fae 100644 --- a/TTS/tts/layers/glow_tts/glow.py +++ b/TTS/tts/layers/glow_tts/glow.py @@ -27,7 +27,7 @@ class ConvLayerNorm(nn.Module): self.conv_layers = nn.ModuleList() self.norm_layers = nn.ModuleList() - for idx in range(num_layers - 1): + for idx in range(num_layers): self.conv_layers.append( nn.Conv1d(in_channels if idx == 0 else hidden_channels, hidden_channels, diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py index 032df71d..7a4c3a30 100644 --- a/TTS/tts/utils/generic_utils.py +++ b/TTS/tts/utils/generic_utils.py @@ -109,6 +109,7 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): out_channels=c.audio['num_mels'], encoder_type=c.encoder_type, encoder_params=c.encoder_params, + use_encoder_prenet=c["use_encoder_prenet"], num_flow_blocks_dec=12, kernel_size_dec=5, dilation_rate=1, @@ -120,7 +121,6 @@ def setup_model(num_chars, num_speakers, c, speaker_embedding_dim=None): num_squeeze=2, sigmoid_scale=False, mean_only=True, - use_encoder_prenet=c["use_encoder_prenet"], external_speaker_embedding_dim=speaker_embedding_dim) elif c.model.lower() == "speedy_speech": model = MyModel(num_chars=num_chars + getattr(c, "add_blank", False), From a6259041d3a0d7511df568474780ffb465462640 Mon Sep 17 00:00:00 2001 From: erogol Date: Thu, 7 Jan 2021 14:35:22 +0100 Subject: [PATCH 091/108] docstring for speedyspeech --- TTS/tts/layers/speedy_speech/decoder.py | 4 +- .../speedy_speech/duration_predictor.py | 22 +++- TTS/tts/layers/speedy_speech/encoder.py | 109 +++++++++--------- TTS/tts/models/speedy_speech.py | 57 ++++++++- 4 files changed, 128 insertions(+), 64 deletions(-) diff --git a/TTS/tts/layers/speedy_speech/decoder.py b/TTS/tts/layers/speedy_speech/decoder.py index bf23f603..9bbb047b 100644 --- a/TTS/tts/layers/speedy_speech/decoder.py +++ b/TTS/tts/layers/speedy_speech/decoder.py @@ -1,7 +1,7 @@ from torch import nn from TTS.tts.layers.generic.res_conv_bn import ConvBNBlock, ResidualConvBNBlock from TTS.tts.layers.generic.wavenet import WNBlocks -from TTS.tts.layers.glow_tts.transformer import Transformer +from TTS.tts.layers.glow_tts.transformer import RelativePositionTransformer class Decoder(nn.Module): @@ -67,7 +67,7 @@ class Decoder(nn.Module): self.out_channels = out_channels if decoder_type == 'transformer': - self.decoder = Transformer(self.hidden_channels, **decoder_params) + self.decoder = RelativePositionTransformer(self.hidden_channels, **decoder_params) elif decoder_type == 'residual_conv_bn': self.decoder = ResidualConvBNBlock(self.hidden_channels, **decoder_params) diff --git a/TTS/tts/layers/speedy_speech/duration_predictor.py b/TTS/tts/layers/speedy_speech/duration_predictor.py index 9f83d94d..153a6a49 100644 --- a/TTS/tts/layers/speedy_speech/duration_predictor.py +++ b/TTS/tts/layers/speedy_speech/duration_predictor.py @@ -4,8 +4,20 @@ from TTS.tts.layers.generic.res_conv_bn import ConvBN class DurationPredictor(nn.Module): - """Predicts phoneme log durations based on the encoder outputs""" + """Speedy Speech duration predictor model. + Predicts phoneme durations from encoder outputs. + + Note: + Outputs interpreted as log(durations) + To get actual durations, do exp transformation + + conv_BN_4x1 -> conv_BN_3x1 -> conv_BN_1x1 -> conv_1x1 + + Args: + hidden_channels (int): number of channels in the inner layers. + """ def __init__(self, hidden_channels): + super().__init__() self.layers = nn.ModuleList([ @@ -16,10 +28,10 @@ class DurationPredictor(nn.Module): ]) def forward(self, x, x_mask): - """Outputs interpreted as log(durations) - To get actual durations, do exp transformation - :param x: - :return: + """ + Shapes: + x: [B, C, T] + x_mask: [B, 1, T] """ o = x for layer in self.layers: diff --git a/TTS/tts/layers/speedy_speech/encoder.py b/TTS/tts/layers/speedy_speech/encoder.py index e0a0ce8f..9fd97514 100644 --- a/TTS/tts/layers/speedy_speech/encoder.py +++ b/TTS/tts/layers/speedy_speech/encoder.py @@ -3,7 +3,7 @@ import torch from torch import nn from torch.nn import functional as F -from TTS.tts.layers.glow_tts.transformer import Transformer +from TTS.tts.layers.glow_tts.transformer import RelativePositionTransformer from TTS.tts.layers.glow_tts.glow import ConvLayerNorm from TTS.tts.layers.generic.res_conv_bn import ResidualConvBNBlock @@ -12,42 +12,36 @@ class PositionalEncoding(nn.Module): """Sinusoidal positional encoding for non-recurrent neural networks. Implementation based on "Attention Is All You Need" Args: + channels (int): embedding size dropout (float): dropout parameter - dim (int): embedding size """ - def __init__(self, dim, dropout=0.0, max_len=5000): + def __init__(self, channels, dropout=0.0, max_len=5000): super().__init__() - if dim % 2 != 0: + if channels % 2 != 0: raise ValueError("Cannot use sin/cos positional encoding with " - "odd dim (got dim={:d})".format(dim)) - pe = torch.zeros(max_len, dim) + "odd channels (got channels={:d})".format(channels)) + pe = torch.zeros(max_len, channels) position = torch.arange(0, max_len).unsqueeze(1) - div_term = torch.exp((torch.arange(0, dim, 2, dtype=torch.float) * - -(math.log(10000.0) / dim))) + div_term = torch.exp((torch.arange(0, channels, 2, dtype=torch.float) * + -(math.log(10000.0) / channels))) pe[:, 0::2] = torch.sin(position.float() * div_term) pe[:, 1::2] = torch.cos(position.float() * div_term) pe = pe.unsqueeze(0).transpose(1, 2) self.register_buffer('pe', pe) if dropout > 0: self.dropout = nn.Dropout(p=dropout) - self.dim = dim + self.channels = channels def forward(self, x, mask=None, first_idx=None, last_idx=None): - """Embed inputs. - Args: - x (FloatTensor): Sequence of word vectors - ``(seq_len, batch_size, self.dim)`` - mask (FloatTensor): Sequence mask. - first_idx (int or NoneType): starting index for taking a - certain part of the embeddings. - last_idx (int or NoneType): ending index for taking a - certain part of the embeddings. - + """ Shapes: - x: B x C x T + x: [B, C, T] + mask: [B, 1, T] + first_idx: int + last_idx: int """ - x = x * math.sqrt(self.dim) + x = x * math.sqrt(self.channels) if first_idx is None: if self.pe.size(2) < x.size(2): raise RuntimeError( @@ -67,6 +61,38 @@ class PositionalEncoding(nn.Module): class Encoder(nn.Module): # pylint: disable=dangerous-default-value + """Speedy-Speech encoder using Transformers or Residual BN Convs internally. + + Args: + num_chars (int): number of characters. + out_channels (int): number of output channels. + in_hidden_channels (int): input and hidden channels. Model keeps the input channels for the intermediate layers. + encoder_type (str): encoder layer types. 'transformers' or 'residual_conv_bn'. Default 'residual_conv_bn'. + encoder_params (dict): model parameters for specified encoder type. + c_in_channels (int): number of channels for conditional input. + + Note: + Default encoder_params... + + for 'transformer' + encoder_params={ + 'hidden_channels_ffn': 128, + 'num_heads': 2, + "kernel_size": 3, + "dropout_p": 0.1, + "num_layers": 6, + "rel_attn_window_size": 4, + "input_length": None + }, + + for 'residual_conv_bn' + encoder_params = { + "kernel_size": 4, + "dilations": 4 * [1, 2, 4] + [1], + "num_conv_blocks": 2, + "num_res_blocks": 13 + } + """ def __init__( self, in_hidden_channels, @@ -79,41 +105,6 @@ class Encoder(nn.Module): "num_res_blocks": 13 }, c_in_channels=0): - """Speedy-Speech encoder using Transformers or Residual BN Convs internally. - - Args: - num_chars (int): number of characters. - out_channels (int): number of output channels. - in_hidden_channels (int): input and hidden channels. Model keeps the input channels for the intermediate layers. - encoder_type (str): encoder layer types. 'transformers' or 'residual_conv_bn'. Default 'residual_conv_bn'. - encoder_params (dict): model parameters for specified encoder type. - c_in_channels (int): number of channels for conditional input. - - Note: - Default encoder_params... - - for 'transformer' - encoder_params={ - 'hidden_channels_ffn': 128, - 'num_heads': 2, - "kernel_size": 3, - "dropout_p": 0.1, - "num_layers": 6, - "rel_attn_window_size": 4, - "input_length": None - }, - - for 'residual_conv_bn' - encoder_params = { - "kernel_size": 4, - "dilations": 4 * [1, 2, 4] + [1], - "num_conv_blocks": 2, - "num_res_blocks": 13 - } - - Shapes: - - input: (B, C, T) - """ super().__init__() self.out_channels = out_channels self.in_channels = in_hidden_channels @@ -148,6 +139,12 @@ class Encoder(nn.Module): self.post_conv2 = nn.Conv1d(self.hidden_channels, self.out_channels, 1) def forward(self, x, x_mask, g=None): # pylint: disable=unused-argument + """ + Shapes: + x: [B, C, T] + x_mask: [B, 1, T] + g: [B, C, 1] + """ # TODO: implement multi-speaker if self.encoder_type == 'transformer': o = self.pre(x, x_mask) diff --git a/TTS/tts/models/speedy_speech.py b/TTS/tts/models/speedy_speech.py index 319d6064..11793fff 100644 --- a/TTS/tts/models/speedy_speech.py +++ b/TTS/tts/models/speedy_speech.py @@ -8,7 +8,33 @@ from TTS.tts.layers.glow_tts.monotonic_align import generate_path class SpeedySpeech(nn.Module): - # pylint: disable=dangerous-default-value + """Speedy Speech model + https://arxiv.org/abs/2008.03802 + + Encoder -> DurationPredictor -> Decoder + + This model is able to achieve a reasonable performance with only + ~3M model parameters and convolutional layers. + + This model requires precomputed phoneme durations to train a duration predictor. At inference + it only uses the duration predictor to compute durations and expand encoder outputs respectively. + + Args: + num_chars (int): number of unique input to characters + out_channels (int): number of output tensor channels. It is equal to the expected spectrogram size. + hidden_channels (int): number of channels in all the model layers. + positional_encoding (bool, optional): enable/disable Positional encoding on encoder outputs. Defaults to True. + length_scale (int, optional): coefficient to set the speech speed. <1 slower, >1 faster. Defaults to 1. + encoder_type (str, optional): set the encoder type. Defaults to 'residual_conv_bn'. + encoder_params (dict, optional): set encoder parameters depending on 'encoder_type'. Defaults to { "kernel_size": 4, "dilations": 4 * [1, 2, 4] + [1], "num_conv_blocks": 2, "num_res_blocks": 13 }. + decoder_type (str, optional): decoder type. Defaults to 'residual_conv_bn'. + decoder_params (dict, optional): set decoder parameters depending on 'decoder_type'. Defaults to { "kernel_size": 4, "dilations": 4 * [1, 2, 4, 8] + [1], "num_conv_blocks": 2, "num_res_blocks": 17 }. + num_speakers (int, optional): number of speakers for multi-speaker training. Defaults to 0. + external_c (bool, optional): enable external speaker embeddings. Defaults to False. + c_in_channels (int, optional): number of channels in speaker embedding vectors. Defaults to 0. + """ +# pylint: disable=dangerous-default-value + def __init__( self, num_chars, @@ -33,6 +59,7 @@ class SpeedySpeech(nn.Module): num_speakers=0, external_c=False, c_in_channels=0): + super().__init__() self.length_scale = float(length_scale) if isinstance(length_scale, int) else length_scale self.emb = nn.Embedding(num_chars, hidden_channels) @@ -54,6 +81,19 @@ class SpeedySpeech(nn.Module): @staticmethod def expand_encoder_outputs(en, dr, x_mask, y_mask): + """Generate attention alignment map from durations and + expand encoder outputs + + Example: + encoder output: [a,b,c,d] + durations: [1, 3, 2, 1] + + expanded: [a, b, b, b, c, c, d] + attention map: [[0, 0, 0, 0, 0, 0, 1], + [0, 0, 0, 0, 1, 1, 0], + [0, 1, 1, 1, 0, 0, 0], + [1, 0, 0, 0, 0, 0, 0]] + """ attn_mask = torch.unsqueeze(x_mask, -1) * torch.unsqueeze(y_mask, 2) attn = generate_path(dr, attn_mask.squeeze(1)).to(en.dtype) o_en_ex = torch.matmul( @@ -121,12 +161,27 @@ class SpeedySpeech(nn.Module): return o_de, attn.transpose(1, 2) def forward(self, x, x_lengths, y_lengths, dr, g=None): # pylint: disable=unused-argument + """ + Shapes: + x: [B, T_max] + x_lengths: [B] + y_lengths: [B] + dr: [B, T_max] + g: [B, C] + """ + breakpoint() o_en, o_en_dp, x_mask, g = self._forward_encoder(x, x_lengths, g) o_dr_log = self.duration_predictor(o_en_dp.detach(), x_mask) o_de, attn= self._forward_decoder(o_en, o_en_dp, dr, x_mask, y_lengths, g=g) return o_de, o_dr_log.squeeze(1), attn def inference(self, x, x_lengths, g=None): # pylint: disable=unused-argument + """ + Shapes: + x: [B, T_max] + x_lengths: [B] + g: [B, C] + """ # pad input to prevent dropping the last word x = torch.nn.functional.pad(x, pad=(0, 5), mode='constant', value=0) o_en, o_en_dp, x_mask, g = self._forward_encoder(x, x_lengths, g) From d382d759b37d1f8247906cbfe3391ac9ff66f7a8 Mon Sep 17 00:00:00 2001 From: erogol Date: Fri, 8 Jan 2021 15:48:40 +0100 Subject: [PATCH 092/108] small fixes and test fixes --- TTS/bin/train_vocoder_wavernn.py | 2 +- TTS/tts/layers/speedy_speech/encoder.py | 2 +- TTS/tts/models/speedy_speech.py | 1 - tests/inputs/test_glow_tts.json | 15 +++- tests/inputs/test_speedy_speech.json | 6 +- tests/test_glow_tts.py | 104 ++++++++++++------------ 6 files changed, 75 insertions(+), 55 deletions(-) diff --git a/TTS/bin/train_vocoder_wavernn.py b/TTS/bin/train_vocoder_wavernn.py index 6bd8e645..cad357dc 100644 --- a/TTS/bin/train_vocoder_wavernn.py +++ b/TTS/bin/train_vocoder_wavernn.py @@ -514,7 +514,7 @@ if __name__ == "__main__": new_fields["restore_path"] = args.restore_path new_fields["github_branch"] = get_git_branch() copy_model_files( - args.config_path, os.path.join(OUT_PATH, "config.json"), new_fields + c, args.config_path, OUT_PATH, new_fields ) os.chmod(AUDIO_PATH, 0o775) os.chmod(OUT_PATH, 0o775) diff --git a/TTS/tts/layers/speedy_speech/encoder.py b/TTS/tts/layers/speedy_speech/encoder.py index 9fd97514..02468626 100644 --- a/TTS/tts/layers/speedy_speech/encoder.py +++ b/TTS/tts/layers/speedy_speech/encoder.py @@ -122,7 +122,7 @@ class Encoder(nn.Module): num_layers=3, dropout_p=0.5) # text encoder - self.encoder = Transformer(self.hidden_channels, **encoder_params) # pylint: disable=unexpected-keyword-arg + self.encoder = RelativePositionTransformer(self.hidden_channels, **encoder_params) # pylint: disable=unexpected-keyword-arg elif encoder_type.lower() == 'residual_conv_bn': self.pre = nn.Sequential( nn.Conv1d(self.in_channels, self.hidden_channels, 1), diff --git a/TTS/tts/models/speedy_speech.py b/TTS/tts/models/speedy_speech.py index 11793fff..2e7d0a5f 100644 --- a/TTS/tts/models/speedy_speech.py +++ b/TTS/tts/models/speedy_speech.py @@ -169,7 +169,6 @@ class SpeedySpeech(nn.Module): dr: [B, T_max] g: [B, C] """ - breakpoint() o_en, o_en_dp, x_mask, g = self._forward_encoder(x, x_lengths, g) o_dr_log = self.duration_predictor(o_en_dp.detach(), x_mask) o_de, attn= self._forward_decoder(o_en, o_en_dp, dr, x_mask, y_lengths, g=g) diff --git a/tests/inputs/test_glow_tts.json b/tests/inputs/test_glow_tts.json index eb1a9ac4..ff8a81ea 100644 --- a/tests/inputs/test_glow_tts.json +++ b/tests/inputs/test_glow_tts.json @@ -86,7 +86,19 @@ "warmup_steps": 4000, // Noam decay steps to increase the learning rate from 0 to "lr" "seq_len_norm": false, // Normalize eash sample loss with its length to alleviate imbalanced datasets. Use it if your dataset is small or has skewed distribution of sequence lengths. - "encoder_type": "transformer", + "hidden_channels_encoder": 192, + "hidden_channels_decoder": 192, + "hidden_channels_duration_predictor": 256, + "use_encoder_prenet": true, + "encoder_type": "rel_pos_transformer", + "encoder_params": { + "kernel_size":3, + "dropout_p": 0.1, + "num_layers": 6, + "num_heads": 2, + "hidden_channels_ffn": 768, + "input_length": null + }, // TENSORBOARD and LOGGING "print_step": 25, // Number of steps to log training on console. @@ -107,6 +119,7 @@ "max_seq_len": 500, // DATASET-RELATED: maximum text length "compute_f0": false, // compute f0 values in data-loader "compute_input_seq_cache": true, + "use_noise_augment": true, // PATHS "output_path": "tests/train_outputs/", diff --git a/tests/inputs/test_speedy_speech.json b/tests/inputs/test_speedy_speech.json index 40c2d5d9..2a4b3a45 100644 --- a/tests/inputs/test_speedy_speech.json +++ b/tests/inputs/test_speedy_speech.json @@ -64,6 +64,8 @@ // MODEL PARAMETERS "positional_encoding": true, + "hidden_channels": 128, + "encoder_type": "residual_conv_bn", "encoder_type": "residual_conv_bn", "encoder_params":{ "kernel_size": 4, @@ -71,13 +73,15 @@ "num_conv_blocks": 2, "num_res_blocks": 13 }, - "decoder_residual_conv_bn_params":{ + "decoder_type": "residual_conv_bn", + "decoder_params":{ "kernel_size": 4, "dilations": [1, 2, 4, 8, 1, 2, 4, 8, 1, 2, 4, 8, 1, 2, 4, 8, 1], "num_conv_blocks": 2, "num_res_blocks": 17 }, + // TRAINING "batch_size":64, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'. "eval_batch_size":32, diff --git a/tests/test_glow_tts.py b/tests/test_glow_tts.py index 2b365d67..2d375031 100644 --- a/tests/test_glow_tts.py +++ b/tests/test_glow_tts.py @@ -42,58 +42,62 @@ class GlowTTSTrainTest(unittest.TestCase): criterion = criterion = GlowTTSLoss() # model to train - model = GlowTts(num_chars=32, - hidden_channels=128, - hidden_channels_ffn=32, - hidden_channels_dp=32, - out_channels=80, - num_heads=2, - num_layers_enc=6, - dropout_p=0.1, - num_flow_blocks_dec=12, - kernel_size_dec=5, - dilation_rate=5, - num_block_layers=4, - dropout_p_dec=0., - num_speakers=0, - c_in_channels=0, - num_splits=4, - num_sqz=1, - sigmoid_scale=False, - rel_attn_window_size=None, - input_length=None, - mean_only=False, - hidden_channels_enc=None, - hidden_channels_dec=None, - use_encoder_prenet=False, - encoder_type="transformer").to(device) + model = GlowTts( + num_chars=32, + hidden_channels_enc=128, + hidden_channels_dec=128, + hidden_channels_dp=32, + out_channels=80, + encoder_type='rel_pos_transformer', + encoder_params={ + 'kernel_size': 3, + 'dropout_p': 0.1, + 'num_layers': 6, + 'num_heads': 2, + 'hidden_channels_ffn': 768, # 4 times the hidden_channels + 'input_length': None + }, + use_encoder_prenet=True, + num_flow_blocks_dec=12, + kernel_size_dec=5, + dilation_rate=5, + num_block_layers=4, + dropout_p_dec=0., + num_speakers=0, + c_in_channels=0, + num_splits=4, + num_squeeze=1, + sigmoid_scale=False, + mean_only=False).to(device) # reference model to compare model weights - model_ref = GlowTts(num_chars=32, - hidden_channels=128, - hidden_channels_ffn=32, - hidden_channels_dp=32, - out_channels=80, - num_heads=2, - num_layers_enc=6, - dropout_p=0.1, - num_flow_blocks_dec=12, - kernel_size_dec=5, - dilation_rate=5, - num_block_layers=4, - dropout_p_dec=0., - num_speakers=0, - c_in_channels=0, - num_splits=4, - num_sqz=1, - sigmoid_scale=False, - rel_attn_window_size=None, - input_length=None, - mean_only=False, - hidden_channels_enc=None, - hidden_channels_dec=None, - use_encoder_prenet=False, - encoder_type="transformer").to(device) + model_ref = GlowTts( + num_chars=32, + hidden_channels_enc=128, + hidden_channels_dec=128, + hidden_channels_dp=32, + out_channels=80, + encoder_type='rel_pos_transformer', + encoder_params={ + 'kernel_size': 3, + 'dropout_p': 0.1, + 'num_layers': 6, + 'num_heads': 2, + 'hidden_channels_ffn': 768, # 4 times the hidden_channels + 'input_length': None + }, + use_encoder_prenet=True, + num_flow_blocks_dec=12, + kernel_size_dec=5, + dilation_rate=5, + num_block_layers=4, + dropout_p_dec=0., + num_speakers=0, + c_in_channels=0, + num_splits=4, + num_squeeze=1, + sigmoid_scale=False, + mean_only=False).to(device) model.train() print(" > Num parameters for GlowTTS model:%s" % From a6f40fef2e2f4e9aa23f4609194d3ff9a55770a7 Mon Sep 17 00:00:00 2001 From: erogol Date: Fri, 8 Jan 2021 16:02:56 +0100 Subject: [PATCH 093/108] stage missing files --- TTS/tts/layers/generic/wavenet.py | 156 ++++++++++++++++++++++++++++++ tests/test_speedy_speech_train.sh | 13 +++ 2 files changed, 169 insertions(+) create mode 100644 TTS/tts/layers/generic/wavenet.py create mode 100755 tests/test_speedy_speech_train.sh diff --git a/TTS/tts/layers/generic/wavenet.py b/TTS/tts/layers/generic/wavenet.py new file mode 100644 index 00000000..1c4bf99b --- /dev/null +++ b/TTS/tts/layers/generic/wavenet.py @@ -0,0 +1,156 @@ +import torch +from torch import nn + + +@torch.jit.script +def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels): + n_channels_int = n_channels[0] + in_act = input_a + input_b + t_act = torch.tanh(in_act[:, :n_channels_int, :]) + s_act = torch.sigmoid(in_act[:, n_channels_int:, :]) + acts = t_act * s_act + return acts + + +class WN(torch.nn.Module): + """Wavenet layers with weight norm and no input conditioning. + + x -> conv1d(dilation) -> dropout -> split(z + g) -> tanh(z1) -> t * s -> conv1d1x1 -> z + x -> ... + g - - - - - - - - - - - - - - - - - - - - - ^ -> sigmoid(z2) - - - ^ | + ˅ + o + z + + Args: + in_channels (int): number of input channels. + hidden_channes (int): number of hidden channels. + kernel_size (int): filter kernel size for the first conv layer. + dilation_rate (int): dilations rate to increase dilation per layer. + If it is 2, dilations are 1, 2, 4, 8 for the next 4 layers. + num_layers (int): number of wavenet layers. + c_in_channels (int): number of channels of conditioning input. + dropout_p (float): dropout rate. + weight_norm (bool): enable/disable weight norm for convolution layers. + """ + def __init__(self, + in_channels, + hidden_channels, + kernel_size, + dilation_rate, + num_layers, + c_in_channels=0, + dropout_p=0, + weight_norm=True): + super().__init__() + assert kernel_size % 2 == 1 + assert hidden_channels % 2 == 0 + self.in_channels = in_channels + self.hidden_channels = hidden_channels + self.kernel_size = kernel_size + self.dilation_rate = dilation_rate + self.num_layers = num_layers + self.c_in_channels = c_in_channels + self.dropout_p = dropout_p + + self.in_layers = torch.nn.ModuleList() + self.res_skip_layers = torch.nn.ModuleList() + self.dropout = nn.Dropout(dropout_p) + + if c_in_channels > 0: + cond_layer = torch.nn.Conv1d(c_in_channels, + 2 * hidden_channels * num_layers, 1) + self.cond_layer = torch.nn.utils.weight_norm(cond_layer, + name='weight') + + for i in range(num_layers): + dilation = dilation_rate**i + padding = int((kernel_size * dilation - dilation) / 2) + in_layer = torch.nn.Conv1d(hidden_channels, + 2 * hidden_channels, + kernel_size, + dilation=dilation, + padding=padding) + in_layer = torch.nn.utils.weight_norm(in_layer, name='weight') + self.in_layers.append(in_layer) + + if i < num_layers - 1: + res_skip_channels = 2 * hidden_channels + else: + res_skip_channels = hidden_channels + + res_skip_layer = torch.nn.Conv1d(hidden_channels, + res_skip_channels, 1) + res_skip_layer = torch.nn.utils.weight_norm(res_skip_layer, + name='weight') + self.res_skip_layers.append(res_skip_layer) + + if not weight_norm: + self.remove_weight_norm() + + def forward(self, x, x_mask=None, g=None, **kwargs): # pylint: disable=unused-argument + output = torch.zeros_like(x) + n_channels_tensor = torch.IntTensor([self.hidden_channels]) + + if g is not None: + g = self.cond_layer(g) + + for i in range(self.num_layers): + x_in = self.in_layers[i](x) + x_in = self.dropout(x_in) + if g is not None: + cond_offset = i * 2 * self.hidden_channels + g_l = g[:, + cond_offset:cond_offset + 2 * self.hidden_channels, :] + else: + g_l = torch.zeros_like(x_in) + + acts = fused_add_tanh_sigmoid_multiply(x_in, g_l, + n_channels_tensor) + + res_skip_acts = self.res_skip_layers[i](acts) + if i < self.num_layers - 1: + x = (x + res_skip_acts[:, :self.hidden_channels, :]) * x_mask + output = output + res_skip_acts[:, self.hidden_channels:, :] + else: + output = output + res_skip_acts + return output * x_mask + + def remove_weight_norm(self): + if self.c_in_channels != 0: + torch.nn.utils.remove_weight_norm(self.cond_layer) + for l in self.in_layers: + torch.nn.utils.remove_weight_norm(l) + for l in self.res_skip_layers: + torch.nn.utils.remove_weight_norm(l) + + +class WNBlocks(nn.Module): + """Wavenet blocks""" + + def __init__(self, + in_channels, + hidden_channels, + kernel_size, + dilation_rate, + num_blocks, + num_layers, + c_in_channels=0, + dropout_p=0, + weight_norm=True): + super().__init__() + self.wn_blocks = nn.ModuleList() + for idx in range(num_blocks): + layer = WN(in_channels=in_channels if idx == 0 else hidden_channels, + hidden_channels=hidden_channels, + kernel_size=kernel_size, + dilation_rate=dilation_rate, + num_layers=num_layers, + c_in_channels=c_in_channels, + dropout_p=dropout_p, + weight_norm=weight_norm) + self.wn_blocks.append(layer) + + def forward(self, x, x_mask, g=None): + o = x + for layer in self.wn_blocks: + o = layer(o, x_mask, g) + return o \ No newline at end of file diff --git a/tests/test_speedy_speech_train.sh b/tests/test_speedy_speech_train.sh new file mode 100755 index 00000000..e0c85000 --- /dev/null +++ b/tests/test_speedy_speech_train.sh @@ -0,0 +1,13 @@ +#!/usr/bin/env bash +set -xe +BASEDIR=$(dirname "$0") +echo "$BASEDIR" +# run training +CUDA_VISIBLE_DEVICES="" python TTS/bin/train_speedy_speech.py --config_path $BASEDIR/inputs/test_speedy_speech.json +# find the training folder +LATEST_FOLDER=$(ls $BASEDIR/train_outputs/| sort | tail -1) +echo $LATEST_FOLDER +# continue the previous training +CUDA_VISIBLE_DEVICES="" python TTS/bin/train_speedy_speech.py --continue_path $BASEDIR/train_outputs/$LATEST_FOLDER +# remove all the outputs +rm -rf $BASEDIR/train_outputs/ From 58f04f2b873831f8b40ff3d181fc5ec2a720e327 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Eren=20G=C3=B6lge?= Date: Mon, 11 Jan 2021 01:52:35 +0100 Subject: [PATCH 094/108] logo update --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 9733c966..2d394b17 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@ - + # TTS: Text-to-Speech for all. From 313e017fdea027f781a71c30c7b3448cbf452a06 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Eren=20G=C3=B6lge?= Date: Mon, 11 Jan 2021 02:12:08 +0100 Subject: [PATCH 095/108] Update README.md --- README.md | 25 ++++++++++++------------- 1 file changed, 12 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index 2d394b17..ee7e5714 100644 --- a/README.md +++ b/README.md @@ -21,15 +21,24 @@ Please use our dedicated channels for questions and discussion. Help is much mor | Type | Platforms | | ------------------------------- | --------------------------------------- | | 🚨 **Bug Reports** | [GitHub Issue Tracker] | -| 🎁 **Feature Requests & Ideas** | [GitHub Issue Tracker] | +| ❔ **FAQ** | [TTS/Wiki](https://github.com/mozilla/TTS/wiki/FAQ) | +| 🎁 **Feature Requests & Ideas** | [GitHub Issue Tracker] | | 👩‍💻 **Usage Questions** | [Discourse Forum] | | 🗯 **General Discussion** | [Discourse Forum] and [Matrix Channel] | [github issue tracker]: https://github.com/mozilla/tts/issues [discourse forum]: https://discourse.mozilla.org/c/tts/ [matrix channel]: https://matrix.to/#/!KTePhNahjgiVumkqca:matrix.org?via=matrix.org +[Tutorials and Examples]: https://github.com/mozilla/TTS/wiki/TTS-Notebooks-and-Tutorials +## 🔗 Links and Resources +| Type | Links | +| ------------------------------- | --------------------------------------- | +| 👩🏾‍🏫 **Tutorials and Examples** | [TTS/Wiki](https://github.com/mozilla/TTS/wiki/TTS-Notebooks-and-Tutorials) | +| 🤖 **Released Models** | [TTS/Wiki](https://github.com/mozilla/TTS/wiki/Released-Models)| +| 💻 **Docker Image** | [Repository by @synesthesiam](https://github.com/synesthesiam/docker-mozillatts)| + ## 🥇 TTS Performance

@@ -82,7 +91,7 @@ TTS supports **python >= 3.6**. ```python setup.py install``` or ```python setup.py develop``` to keep your installation in your working directory. -### Directory Structure +## Directory Structure ``` |- notebooks/ (Jupyter Notebooks for model evaluation, parameter selection and data analysis.) |- utils/ (common utilities.) @@ -103,12 +112,6 @@ TTS supports **python >= 3.6**. |- (same) ``` -### Docker -A docker image is created by [@synesthesiam](https://github.com/synesthesiam) and shared in a separate [repository](https://github.com/synesthesiam/docker-mozillatts) with the latest LJSpeech models. - -## Released Models -Please visit [our wiki.](https://github.com/mozilla/TTS/wiki/Released-Models) - ## Sample Model Output Below you see Tacotron model state after 16K iterations with batch-size 32 with LJSpeech dataset. @@ -118,8 +121,6 @@ Audio examples: [soundcloud](https://soundcloud.com/user-565970875/pocket-articl example_output -## [TTS Tutorials and Notebooks](https://github.com/mozilla/TTS/wiki/TTS-Notebooks-and-Tutorials) - ## Datasets and Data-Loading TTS provides a generic dataloader easy to use for your custom dataset. You just need to write a simple function to format the dataset. Check ```datasets/preprocess.py``` to see some examples. @@ -134,7 +135,7 @@ Some of the public datasets that we successfully applied TTS: - [LibriTTS](https://openslr.org/60/) - [Spanish](https://drive.google.com/file/d/1Sm_zyBo67XHkiFhcRSQ4YaHPYM0slO_e/view?usp=sharing) - thx! @carlfm01 -## Training and Fine-tuning LJ-Speech +## Example: Training and Fine-tuning LJ-Speech Dataset Here you can find a [CoLab](https://gist.github.com/erogol/97516ad65b44dbddb8cd694953187c5b) notebook for a hands-on example, training LJSpeech. Or you can manually follow the guideline below. To start with, split ```metadata.csv``` into train and validation subsets respectively ```metadata_train.csv``` and ```metadata_val.csv```. Note that for text-to-speech, validation performance might be misleading since the loss value does not directly measure the voice quality to the human ear and it also does not measure the attention module performance. Therefore, running the model with new sentences and listening to the results is the best way to go. @@ -187,8 +188,6 @@ If you like to use TTS to try a new idea and like to share your experiments with - Explain your idea and experiment. - Share your results regularly. (Tensorboard log files, audio results, visuals etc.) -## [Contact/Getting Help](https://github.com/mozilla/TTS/wiki/Contact-and-Getting-Help) - ## Major TODOs - [x] Implement the model. - [x] Generate human-like speech on LJSpeech dataset. From a70917a030ca13d9eedc760d2cd75ce2d2cc999c Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 11 Jan 2021 15:05:51 +0100 Subject: [PATCH 096/108] update readme --- README.md | 25 ++++++++++++------------- 1 file changed, 12 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index 9733c966..6eeba64e 100644 --- a/README.md +++ b/README.md @@ -21,15 +21,24 @@ Please use our dedicated channels for questions and discussion. Help is much mor | Type | Platforms | | ------------------------------- | --------------------------------------- | | 🚨 **Bug Reports** | [GitHub Issue Tracker] | -| 🎁 **Feature Requests & Ideas** | [GitHub Issue Tracker] | +| ❔ **FAQ** | [Wiki](https://github.com/mozilla/TTS/wiki/FAQ) | +| 🎁 **Feature Requests & Ideas** | [GitHub Issue Tracker] | | 👩‍💻 **Usage Questions** | [Discourse Forum] | | 🗯 **General Discussion** | [Discourse Forum] and [Matrix Channel] | [github issue tracker]: https://github.com/mozilla/tts/issues [discourse forum]: https://discourse.mozilla.org/c/tts/ [matrix channel]: https://matrix.to/#/!KTePhNahjgiVumkqca:matrix.org?via=matrix.org +[Tutorials and Examples]: https://github.com/mozilla/TTS/wiki/TTS-Notebooks-and-Tutorials +## 🔗 Links and Resources +| Type | Links | +| ------------------------------- | --------------------------------------- | +| 👩🏾‍🏫 **Tutorials and Examples** | [TTS/Wiki](https://github.com/mozilla/TTS/wiki/TTS-Notebooks-and-Tutorials) | +| 🤖 **Released Models** | [TTS/Wiki](https://github.com/mozilla/TTS/wiki/Released-Models)| +| 💻 **Docker Image** | [Repository by @synesthesiam](https://github.com/synesthesiam/docker-mozillatts)| + ## 🥇 TTS Performance

@@ -82,7 +91,7 @@ TTS supports **python >= 3.6**. ```python setup.py install``` or ```python setup.py develop``` to keep your installation in your working directory. -### Directory Structure +## Directory Structure ``` |- notebooks/ (Jupyter Notebooks for model evaluation, parameter selection and data analysis.) |- utils/ (common utilities.) @@ -103,12 +112,6 @@ TTS supports **python >= 3.6**. |- (same) ``` -### Docker -A docker image is created by [@synesthesiam](https://github.com/synesthesiam) and shared in a separate [repository](https://github.com/synesthesiam/docker-mozillatts) with the latest LJSpeech models. - -## Released Models -Please visit [our wiki.](https://github.com/mozilla/TTS/wiki/Released-Models) - ## Sample Model Output Below you see Tacotron model state after 16K iterations with batch-size 32 with LJSpeech dataset. @@ -118,8 +121,6 @@ Audio examples: [soundcloud](https://soundcloud.com/user-565970875/pocket-articl example_output -## [TTS Tutorials and Notebooks](https://github.com/mozilla/TTS/wiki/TTS-Notebooks-and-Tutorials) - ## Datasets and Data-Loading TTS provides a generic dataloader easy to use for your custom dataset. You just need to write a simple function to format the dataset. Check ```datasets/preprocess.py``` to see some examples. @@ -134,7 +135,7 @@ Some of the public datasets that we successfully applied TTS: - [LibriTTS](https://openslr.org/60/) - [Spanish](https://drive.google.com/file/d/1Sm_zyBo67XHkiFhcRSQ4YaHPYM0slO_e/view?usp=sharing) - thx! @carlfm01 -## Training and Fine-tuning LJ-Speech +## Example: Training and Fine-tuning LJ-Speech Dataset Here you can find a [CoLab](https://gist.github.com/erogol/97516ad65b44dbddb8cd694953187c5b) notebook for a hands-on example, training LJSpeech. Or you can manually follow the guideline below. To start with, split ```metadata.csv``` into train and validation subsets respectively ```metadata_train.csv``` and ```metadata_val.csv```. Note that for text-to-speech, validation performance might be misleading since the loss value does not directly measure the voice quality to the human ear and it also does not measure the attention module performance. Therefore, running the model with new sentences and listening to the results is the best way to go. @@ -187,8 +188,6 @@ If you like to use TTS to try a new idea and like to share your experiments with - Explain your idea and experiment. - Share your results regularly. (Tensorboard log files, audio results, visuals etc.) -## [Contact/Getting Help](https://github.com/mozilla/TTS/wiki/Contact-and-Getting-Help) - ## Major TODOs - [x] Implement the model. - [x] Generate human-like speech on LJSpeech dataset. From cc2b1e043d44d761cf4b53530609c0b70724b6ca Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 11 Jan 2021 15:06:12 +0100 Subject: [PATCH 097/108] docstrings for common layers --- TTS/bin/synthesize.py | 2 +- TTS/tts/layers/common_layers.py | 46 ++++++++++++++++++++++++++++++++- 2 files changed, 46 insertions(+), 2 deletions(-) diff --git a/TTS/bin/synthesize.py b/TTS/bin/synthesize.py index 12ff4d30..25459f79 100644 --- a/TTS/bin/synthesize.py +++ b/TTS/bin/synthesize.py @@ -44,7 +44,7 @@ def tts(model, vocoder_model, text, CONFIG, use_cuda, ap, use_gl, speaker_fileid # Use alternative when using output npy file from tune_wavegrad # beta = np.load("output-tune-wavegrad.npy", allow_pickle=True).item() # vocoder_model.compute_noise_level(beta['beta']) - + device_type = "cuda" if use_cuda else "cpu" waveform = vocoder_model.inference(torch.FloatTensor(mel_postnet_spec.T).to(device_type).unsqueeze(0)) if use_cuda and not use_gl: diff --git a/TTS/tts/layers/common_layers.py b/TTS/tts/layers/common_layers.py index 615f766e..a2eefba5 100644 --- a/TTS/tts/layers/common_layers.py +++ b/TTS/tts/layers/common_layers.py @@ -1,10 +1,17 @@ import torch from torch import nn from torch.nn import functional as F -from scipy.stats import betabinom class Linear(nn.Module): + """Linear layer with a specific initialization. + + Args: + in_features (int): number of channels in the input tensor. + out_features (int): number of channels in the output tensor. + bias (bool, optional): enable/disable bias in the layer. Defaults to True. + init_gain (str, optional): method to compute the gain in the weight initializtion based on the nonlinear activation used afterwards. Defaults to 'linear'. + """ def __init__(self, in_features, out_features, @@ -25,6 +32,16 @@ class Linear(nn.Module): class LinearBN(nn.Module): + """Linear layer with Batch Normalization. + + x -> linear -> BN -> o + + Args: + in_features (int): number of channels in the input tensor. + out_features (int ): number of channels in the output tensor. + bias (bool, optional): enable/disable bias in the linear layer. Defaults to True. + init_gain (str, optional): method to set the gain for weight initialization. Defaults to 'linear'. + """ def __init__(self, in_features, out_features, @@ -42,6 +59,10 @@ class LinearBN(nn.Module): gain=torch.nn.init.calculate_gain(init_gain)) def forward(self, x): + """ + Shapes: + x: [T, B, C] or [B, C] + """ out = self.linear_layer(x) if len(out.shape) == 3: out = out.permute(1, 2, 0) @@ -52,6 +73,29 @@ class LinearBN(nn.Module): class Prenet(nn.Module): + """Tacotron specific Prenet with an optional Batch Normalization. + + Note: + Prenet with BN improves the model performance significantly especially + if it is enabled after learning a diagonal attention alignment with the original + prenet. However, if the target dataset is high quality then it also works from + the start. It is also suggested to disable dropout if BN is in use. + + prenet_type == "original" + x -> [linear -> ReLU -> Dropout]xN -> o + + prenet_type == "bn" + x -> [linear -> BN -> ReLU -> Dropout]xN -> o + + Args: + in_features (int): number of channels in the input tensor and the inner layers. + prenet_type (str, optional): prenet type "original" or "bn". Defaults to "original". + prenet_dropout (bool, optional): dropout rate. Defaults to True. + out_features (list, optional): List of output channels for each prenet block. + It also defines number of the prenet blocks based on the length of argument list. + Defaults to [256, 256]. + bias (bool, optional): enable/disable bias in prenet linear layers. Defaults to True. + """ # pylint: disable=dangerous-default-value def __init__(self, in_features, From 921fa5db92c6041cd514ce2c3b7efcede54349fb Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 11 Jan 2021 15:06:42 +0100 Subject: [PATCH 098/108] remove attentions from common layers --- TTS/tts/layers/common_layers.py | 405 +------------------------------- 1 file changed, 1 insertion(+), 404 deletions(-) diff --git a/TTS/tts/layers/common_layers.py b/TTS/tts/layers/common_layers.py index a2eefba5..5da9b49d 100644 --- a/TTS/tts/layers/common_layers.py +++ b/TTS/tts/layers/common_layers.py @@ -124,407 +124,4 @@ class Prenet(nn.Module): x = F.dropout(F.relu(linear(x)), p=0.5, training=self.training) else: x = F.relu(linear(x)) - return x - - -#################### -# ATTENTION MODULES -#################### - - -class LocationLayer(nn.Module): - def __init__(self, - attention_dim, - attention_n_filters=32, - attention_kernel_size=31): - super(LocationLayer, self).__init__() - self.location_conv1d = nn.Conv1d( - in_channels=2, - out_channels=attention_n_filters, - kernel_size=attention_kernel_size, - stride=1, - padding=(attention_kernel_size - 1) // 2, - bias=False) - self.location_dense = Linear( - attention_n_filters, attention_dim, bias=False, init_gain='tanh') - - def forward(self, attention_cat): - processed_attention = self.location_conv1d(attention_cat) - processed_attention = self.location_dense( - processed_attention.transpose(1, 2)) - return processed_attention - - -class GravesAttention(nn.Module): - """ Discretized Graves attention: - - https://arxiv.org/abs/1910.10288 - - https://arxiv.org/pdf/1906.01083.pdf - """ - COEF = 0.3989422917366028 # numpy.sqrt(1/(2*numpy.pi)) - - def __init__(self, query_dim, K): - super(GravesAttention, self).__init__() - self._mask_value = 1e-8 - self.K = K - # self.attention_alignment = 0.05 - self.eps = 1e-5 - self.J = None - self.N_a = nn.Sequential( - nn.Linear(query_dim, query_dim, bias=True), - nn.ReLU(), - nn.Linear(query_dim, 3*K, bias=True)) - self.attention_weights = None - self.mu_prev = None - self.init_layers() - - def init_layers(self): - torch.nn.init.constant_(self.N_a[2].bias[(2*self.K):(3*self.K)], 1.) # bias mean - torch.nn.init.constant_(self.N_a[2].bias[self.K:(2*self.K)], 10) # bias std - - def init_states(self, inputs): - if self.J is None or inputs.shape[1]+1 > self.J.shape[-1]: - self.J = torch.arange(0, inputs.shape[1]+2.0).to(inputs.device) + 0.5 - self.attention_weights = torch.zeros(inputs.shape[0], inputs.shape[1]).to(inputs.device) - self.mu_prev = torch.zeros(inputs.shape[0], self.K).to(inputs.device) - - # pylint: disable=R0201 - # pylint: disable=unused-argument - def preprocess_inputs(self, inputs): - return None - - def forward(self, query, inputs, processed_inputs, mask): - """ - shapes: - query: B x D_attention_rnn - inputs: B x T_in x D_encoder - processed_inputs: place_holder - mask: B x T_in - """ - gbk_t = self.N_a(query) - gbk_t = gbk_t.view(gbk_t.size(0), -1, self.K) - - # attention model parameters - # each B x K - g_t = gbk_t[:, 0, :] - b_t = gbk_t[:, 1, :] - k_t = gbk_t[:, 2, :] - - # dropout to decorrelate attention heads - g_t = torch.nn.functional.dropout(g_t, p=0.5, training=self.training) - - # attention GMM parameters - sig_t = torch.nn.functional.softplus(b_t) + self.eps - - mu_t = self.mu_prev + torch.nn.functional.softplus(k_t) - g_t = torch.softmax(g_t, dim=-1) + self.eps - - j = self.J[:inputs.size(1)+1] - - # attention weights - phi_t = g_t.unsqueeze(-1) * (1 / (1 + torch.sigmoid((mu_t.unsqueeze(-1) - j) / sig_t.unsqueeze(-1)))) - - # discritize attention weights - alpha_t = torch.sum(phi_t, 1) - alpha_t = alpha_t[:, 1:] - alpha_t[:, :-1] - alpha_t[alpha_t == 0] = 1e-8 - - # apply masking - if mask is not None: - alpha_t.data.masked_fill_(~mask, self._mask_value) - - context = torch.bmm(alpha_t.unsqueeze(1), inputs).squeeze(1) - self.attention_weights = alpha_t - self.mu_prev = mu_t - return context - - -class OriginalAttention(nn.Module): - """Following the methods proposed here: - - https://arxiv.org/abs/1712.05884 - - https://arxiv.org/abs/1807.06736 + state masking at inference - - Using sigmoid instead of softmax normalization - - Attention windowing at inference time - """ - # Pylint gets confused by PyTorch conventions here - #pylint: disable=attribute-defined-outside-init - def __init__(self, query_dim, embedding_dim, attention_dim, - location_attention, attention_location_n_filters, - attention_location_kernel_size, windowing, norm, forward_attn, - trans_agent, forward_attn_mask): - super(OriginalAttention, self).__init__() - self.query_layer = Linear( - query_dim, attention_dim, bias=False, init_gain='tanh') - self.inputs_layer = Linear( - embedding_dim, attention_dim, bias=False, init_gain='tanh') - self.v = Linear(attention_dim, 1, bias=True) - if trans_agent: - self.ta = nn.Linear( - query_dim + embedding_dim, 1, bias=True) - if location_attention: - self.location_layer = LocationLayer( - attention_dim, - attention_location_n_filters, - attention_location_kernel_size, - ) - self._mask_value = -float("inf") - self.windowing = windowing - self.win_idx = None - self.norm = norm - self.forward_attn = forward_attn - self.trans_agent = trans_agent - self.forward_attn_mask = forward_attn_mask - self.location_attention = location_attention - - def init_win_idx(self): - self.win_idx = -1 - self.win_back = 2 - self.win_front = 6 - - def init_forward_attn(self, inputs): - B = inputs.shape[0] - T = inputs.shape[1] - self.alpha = torch.cat( - [torch.ones([B, 1]), - torch.zeros([B, T])[:, :-1] + 1e-7], dim=1).to(inputs.device) - self.u = (0.5 * torch.ones([B, 1])).to(inputs.device) - - def init_location_attention(self, inputs): - B = inputs.size(0) - T = inputs.size(1) - self.attention_weights_cum = torch.zeros([B, T], device=inputs.device) - - def init_states(self, inputs): - B = inputs.size(0) - T = inputs.size(1) - self.attention_weights = torch.zeros([B, T], device=inputs.device) - if self.location_attention: - self.init_location_attention(inputs) - if self.forward_attn: - self.init_forward_attn(inputs) - if self.windowing: - self.init_win_idx() - - def preprocess_inputs(self, inputs): - return self.inputs_layer(inputs) - - def update_location_attention(self, alignments): - self.attention_weights_cum += alignments - - def get_location_attention(self, query, processed_inputs): - attention_cat = torch.cat((self.attention_weights.unsqueeze(1), - self.attention_weights_cum.unsqueeze(1)), - dim=1) - processed_query = self.query_layer(query.unsqueeze(1)) - processed_attention_weights = self.location_layer(attention_cat) - energies = self.v( - torch.tanh(processed_query + processed_attention_weights + - processed_inputs)) - energies = energies.squeeze(-1) - return energies, processed_query - - def get_attention(self, query, processed_inputs): - processed_query = self.query_layer(query.unsqueeze(1)) - energies = self.v(torch.tanh(processed_query + processed_inputs)) - energies = energies.squeeze(-1) - return energies, processed_query - - def apply_windowing(self, attention, inputs): - back_win = self.win_idx - self.win_back - front_win = self.win_idx + self.win_front - if back_win > 0: - attention[:, :back_win] = -float("inf") - if front_win < inputs.shape[1]: - attention[:, front_win:] = -float("inf") - # this is a trick to solve a special problem. - # but it does not hurt. - if self.win_idx == -1: - attention[:, 0] = attention.max() - # Update the window - self.win_idx = torch.argmax(attention, 1).long()[0].item() - return attention - - def apply_forward_attention(self, alignment): - # forward attention - fwd_shifted_alpha = F.pad( - self.alpha[:, :-1].clone().to(alignment.device), (1, 0, 0, 0)) - # compute transition potentials - alpha = ((1 - self.u) * self.alpha - + self.u * fwd_shifted_alpha - + 1e-8) * alignment - # force incremental alignment - if not self.training and self.forward_attn_mask: - _, n = fwd_shifted_alpha.max(1) - val, _ = alpha.max(1) - for b in range(alignment.shape[0]): - alpha[b, n[b] + 3:] = 0 - alpha[b, :( - n[b] - 1 - )] = 0 # ignore all previous states to prevent repetition. - alpha[b, - (n[b] - 2 - )] = 0.01 * val[b] # smoothing factor for the prev step - # renormalize attention weights - alpha = alpha / alpha.sum(dim=1, keepdim=True) - return alpha - - def forward(self, query, inputs, processed_inputs, mask): - """ - shapes: - query: B x D_attn_rnn - inputs: B x T_en x D_en - processed_inputs:: B x T_en x D_attn - mask: B x T_en - """ - if self.location_attention: - attention, _ = self.get_location_attention( - query, processed_inputs) - else: - attention, _ = self.get_attention( - query, processed_inputs) - # apply masking - if mask is not None: - attention.data.masked_fill_(~mask, self._mask_value) - # apply windowing - only in eval mode - if not self.training and self.windowing: - attention = self.apply_windowing(attention, inputs) - - # normalize attention values - if self.norm == "softmax": - alignment = torch.softmax(attention, dim=-1) - elif self.norm == "sigmoid": - alignment = torch.sigmoid(attention) / torch.sigmoid( - attention).sum( - dim=1, keepdim=True) - else: - raise ValueError("Unknown value for attention norm type") - - if self.location_attention: - self.update_location_attention(alignment) - - # apply forward attention if enabled - if self.forward_attn: - alignment = self.apply_forward_attention(alignment) - self.alpha = alignment - - context = torch.bmm(alignment.unsqueeze(1), inputs) - context = context.squeeze(1) - self.attention_weights = alignment - - # compute transition agent - if self.forward_attn and self.trans_agent: - ta_input = torch.cat([context, query.squeeze(1)], dim=-1) - self.u = torch.sigmoid(self.ta(ta_input)) - return context - -class MonotonicDynamicConvolutionAttention(nn.Module): - """Dynamic convolution attention from - https://arxiv.org/pdf/1910.10288.pdf - """ - def __init__( - self, - query_dim, - embedding_dim, # pylint: disable=unused-argument - attention_dim, - static_filter_dim, - static_kernel_size, - dynamic_filter_dim, - dynamic_kernel_size, - prior_filter_len=11, - alpha=0.1, - beta=0.9, - ): - super().__init__() - self._mask_value = 1e-8 - self.dynamic_filter_dim = dynamic_filter_dim - self.dynamic_kernel_size = dynamic_kernel_size - self.prior_filter_len = prior_filter_len - self.attention_weights = None - # setup key and query layers - self.query_layer = nn.Linear(query_dim, attention_dim) - self.key_layer = nn.Linear( - attention_dim, dynamic_filter_dim * dynamic_kernel_size, bias=False - ) - self.static_filter_conv = nn.Conv1d( - 1, - static_filter_dim, - static_kernel_size, - padding=(static_kernel_size - 1) // 2, - bias=False, - ) - self.static_filter_layer = nn.Linear(static_filter_dim, attention_dim, bias=False) - self.dynamic_filter_layer = nn.Linear(dynamic_filter_dim, attention_dim) - self.v = nn.Linear(attention_dim, 1, bias=False) - - prior = betabinom.pmf(range(prior_filter_len), prior_filter_len - 1, - alpha, beta) - self.register_buffer("prior", torch.FloatTensor(prior).flip(0)) - - # pylint: disable=unused-argument - def forward(self, query, inputs, processed_inputs, mask): - # compute prior filters - prior_filter = F.conv1d( - F.pad(self.attention_weights.unsqueeze(1), - (self.prior_filter_len - 1, 0)), self.prior.view(1, 1, -1)) - prior_filter = torch.log(prior_filter.clamp_min_(1e-6)).squeeze(1) - G = self.key_layer(torch.tanh(self.query_layer(query))) - # compute dynamic filters - dynamic_filter = F.conv1d( - self.attention_weights.unsqueeze(0), - G.view(-1, 1, self.dynamic_kernel_size), - padding=(self.dynamic_kernel_size - 1) // 2, - groups=query.size(0), - ) - dynamic_filter = dynamic_filter.view(query.size(0), self.dynamic_filter_dim, -1).transpose(1, 2) - # compute static filters - static_filter = self.static_filter_conv(self.attention_weights.unsqueeze(1)).transpose(1, 2) - alignment = self.v( - torch.tanh( - self.static_filter_layer(static_filter) + - self.dynamic_filter_layer(dynamic_filter))).squeeze(-1) + prior_filter - # compute attention weights - attention_weights = F.softmax(alignment, dim=-1) - # apply masking - if mask is not None: - attention_weights.data.masked_fill_(~mask, self._mask_value) - self.attention_weights = attention_weights - # compute context - context = torch.bmm(attention_weights.unsqueeze(1), inputs).squeeze(1) - return context - - def preprocess_inputs(self, inputs): # pylint: disable=no-self-use - return None - - def init_states(self, inputs): - B = inputs.size(0) - T = inputs.size(1) - self.attention_weights = torch.zeros([B, T], device=inputs.device) - self.attention_weights[:, 0] = 1. - - -def init_attn(attn_type, query_dim, embedding_dim, attention_dim, - location_attention, attention_location_n_filters, - attention_location_kernel_size, windowing, norm, forward_attn, - trans_agent, forward_attn_mask, attn_K): - if attn_type == "original": - return OriginalAttention(query_dim, embedding_dim, attention_dim, - location_attention, - attention_location_n_filters, - attention_location_kernel_size, windowing, - norm, forward_attn, trans_agent, - forward_attn_mask) - if attn_type == "graves": - return GravesAttention(query_dim, attn_K) - if attn_type == "dynamic_convolution": - return MonotonicDynamicConvolutionAttention(query_dim, - embedding_dim, - attention_dim, - static_filter_dim=8, - static_kernel_size=21, - dynamic_filter_dim=8, - dynamic_kernel_size=21, - prior_filter_len=11, - alpha=0.1, - beta=0.9) - - raise RuntimeError( - " [!] Given Attention Type '{attn_type}' is not exist.") \ No newline at end of file + return x \ No newline at end of file From 6e9043c5d2fb032ac970388bef9adbb7440d4f8e Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 11 Jan 2021 17:22:34 +0100 Subject: [PATCH 099/108] rename convbnblocks and handle none mask --- TTS/tts/layers/generic/res_conv_bn.py | 78 +++++++++++++++++++++------ 1 file changed, 63 insertions(+), 15 deletions(-) diff --git a/TTS/tts/layers/generic/res_conv_bn.py b/TTS/tts/layers/generic/res_conv_bn.py index 668a450c..322cab94 100644 --- a/TTS/tts/layers/generic/res_conv_bn.py +++ b/TTS/tts/layers/generic/res_conv_bn.py @@ -14,15 +14,27 @@ class ZeroTemporalPad(nn.Module): return self.pad_layer(x) -class ConvBN(nn.Module): - def __init__(self, channels, kernel_size, dilation): +class Conv1dBN(nn.Module): + """1d convolutional with batch norm. + conv1d -> relu -> BN blocks. + + Note: + Batch normalization is applied after ReLU regarding the original implementation. + + Args: + in_channels (int): number of input channels. + out_channels (int): number of output channels. + kernel_size (int): kernel size for convolutional filters. + dilation (int): dilation for convolution layers. + """ + def __init__(self, in_channels, out_channels, kernel_size, dilation): super().__init__() padding = (dilation * (kernel_size - 1)) pad_s = padding // 2 pad_e = padding - pad_s - self.conv1d = nn.Conv1d(channels, channels, kernel_size, dilation=dilation) + self.conv1d = nn.Conv1d(in_channels, out_channels, kernel_size, dilation=dilation) self.pad = nn.ZeroPad2d((pad_s, pad_e, 0, 0)) # uneven left and right padding - self.norm = nn.BatchNorm1d(channels) + self.norm = nn.BatchNorm1d(out_channels) def forward(self, x): o = self.conv1d(x) @@ -32,15 +44,27 @@ class ConvBN(nn.Module): return o -class ConvBNBlock(nn.Module): - """Implements conv->PReLU->norm n-times""" +class Conv1dBNBlock(nn.Module): + """1d convolutional block with batch norm. It is a set of conv1d -> relu -> BN blocks. - def __init__(self, channels, kernel_size, dilation, num_conv_blocks=2): + Args: + in_channels (int): number of input channels. + out_channels (int): number of output channels. + hidden_channels (int): number of inner convolution channels. + kernel_size (int): kernel size for convolutional filters. + dilation (int): dilation for convolution layers. + num_conv_blocks (int, optional): number of convolutional blocks. Defaults to 2. + """ + def __init__(self, in_channels, out_channels, hidden_channels, kernel_size, dilation, num_conv_blocks=2): super().__init__() - self.conv_bn_blocks = nn.Sequential(*[ - ConvBN(channels, kernel_size, dilation) - for _ in range(num_conv_blocks) - ]) + self.conv_bn_blocks = [] + for idx in range(num_conv_blocks): + layer = Conv1dBN(in_channels if idx == 0 else hidden_channels, + out_channels if idx == (num_conv_blocks - 1) else hidden_channels, + kernel_size, + dilation) + self.conv_bn_blocks.append(layer) + self.conv_bn_blocks = nn.Sequential(*self.conv_bn_blocks) def forward(self, x): """ @@ -50,16 +74,40 @@ class ConvBNBlock(nn.Module): return self.conv_bn_blocks(x) -class ResidualConvBNBlock(nn.Module): - def __init__(self, channels, kernel_size, dilations, num_res_blocks=13, num_conv_blocks=2): +class ResidualConv1dBNBlock(nn.Module): + """Residual Convolutional Blocks with BN + Each block has 'num_conv_block' conv layers and 'num_res_blocks' such blocks are connected + with residual connections. + + conv_block = (conv1d -> relu -> bn) x 'num_conv_blocks' + residuak_conv_block = (x -> conv_block -> + ->) x 'num_res_blocks' + ' - - - - - - - - - ^ + Args: + in_channels (int): number of input channels. + out_channels (int): number of output channels. + hidden_channels (int): number of inner convolution channels. + kernel_size (int): kernel size for convolutional filters. + dilations (list): dilations for each convolution layer. + num_res_blocks (int, optional): number of residual blocks. Defaults to 13. + num_conv_blocks (int, optional): number of convolutional blocks in each residual block. Defaults to 2. + """ + def __init__(self, in_channels, out_channels, hidden_channels, kernel_size, dilations, num_res_blocks=13, num_conv_blocks=2): + super().__init__() assert len(dilations) == num_res_blocks self.res_blocks = nn.ModuleList() - for dilation in dilations: - block = ConvBNBlock(channels, kernel_size, dilation, num_conv_blocks) + for idx, dilation in enumerate(dilations): + block = Conv1dBNBlock(in_channels if idx==0 else hidden_channels, + out_channels if (idx + 1) == len(dilations) else hidden_channels, + hidden_channels, + kernel_size, + dilation, + num_conv_blocks) self.res_blocks.append(block) def forward(self, x, x_mask=None): + if x_mask is None: + x_mask = 1.0 o = x * x_mask for block in self.res_blocks: res = o From b206162d116c4a6f092d3ae8a462941815d8536d Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 11 Jan 2021 17:25:04 +0100 Subject: [PATCH 100/108] more docstrings --- TTS/tts/layers/generic/wavenet.py | 30 ++++++++++++++++++++------ TTS/tts/layers/glow_tts/glow.py | 29 +++++++++++++++++-------- TTS/tts/layers/glow_tts/transformer.py | 2 ++ 3 files changed, 46 insertions(+), 15 deletions(-) diff --git a/TTS/tts/layers/generic/wavenet.py b/TTS/tts/layers/generic/wavenet.py index 1c4bf99b..d0a1f3e9 100644 --- a/TTS/tts/layers/generic/wavenet.py +++ b/TTS/tts/layers/generic/wavenet.py @@ -15,10 +15,11 @@ def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels): class WN(torch.nn.Module): """Wavenet layers with weight norm and no input conditioning. - x -> conv1d(dilation) -> dropout -> split(z + g) -> tanh(z1) -> t * s -> conv1d1x1 -> z + x -> ... - g - - - - - - - - - - - - - - - - - - - - - ^ -> sigmoid(z2) - - - ^ | - ˅ - o + z + |-----------------------------------------------------------------------------| + | |-> tanh -| | + res -|- conv1d(dilation) -> dropout -> + -| * -> conv1d1x1 -> split -|- + -> res + g -------------------------------------| |-> sigmoid -| | + o --------------------------------------------------------------------------- + --------- o Args: in_channels (int): number of input channels. @@ -55,12 +56,13 @@ class WN(torch.nn.Module): self.res_skip_layers = torch.nn.ModuleList() self.dropout = nn.Dropout(dropout_p) + # init conditioning layer if c_in_channels > 0: cond_layer = torch.nn.Conv1d(c_in_channels, 2 * hidden_channels * num_layers, 1) self.cond_layer = torch.nn.utils.weight_norm(cond_layer, name='weight') - + # intermediate layers for i in range(num_layers): dilation = dilation_rate**i padding = int((kernel_size * dilation - dilation) / 2) @@ -124,7 +126,23 @@ class WN(torch.nn.Module): class WNBlocks(nn.Module): - """Wavenet blocks""" + """Wavenet blocks. + + Note: After each block dilation resets to 1 and it increases in each block + along the dilation rate. + + Args: + in_channels (int): number of input channels. + hidden_channes (int): number of hidden channels. + kernel_size (int): filter kernel size for the first conv layer. + dilation_rate (int): dilations rate to increase dilation per layer. + If it is 2, dilations are 1, 2, 4, 8 for the next 4 layers. + num_blocks (int): number of wavenet blocks. + num_layers (int): number of wavenet layers. + c_in_channels (int): number of channels of conditioning input. + dropout_p (float): dropout rate. + weight_norm (bool): enable/disable weight norm for convolution layers. + """ def __init__(self, in_channels, diff --git a/TTS/tts/layers/glow_tts/glow.py b/TTS/tts/layers/glow_tts/glow.py index 07826fae..f6385747 100644 --- a/TTS/tts/layers/glow_tts/glow.py +++ b/TTS/tts/layers/glow_tts/glow.py @@ -6,14 +6,23 @@ from TTS.tts.layers.generic.wavenet import WN from ..generic.normalization import LayerNorm -class ConvLayerNorm(nn.Module): - """Residual Convolution with LayerNorm - x -> conv1d -> layer_norm -> dropout -> + -> o - | | - ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯ - """ +class ResidualConv1dLayerNormBlock(nn.Module): def __init__(self, in_channels, hidden_channels, out_channels, kernel_size, num_layers, dropout_p): + """Conv1d with Layer Normalization and residual connection as in GlowTTS paper. + https://arxiv.org/pdf/1811.00002.pdf + + x |-> conv1d -> layer_norm -> relu -> dropout -> + -> o + |---------------> conv1d_1x1 -----------------------| + + Args: + in_channels (int): number of input tensor channels. + hidden_channels (int): number of inner layer channels. + out_channels (int): number of output tensor channels. + kernel_size (int): kernel size of conv1d filter. + num_layers (int): number of blocks. + dropout_p (float): dropout rate for each block. + """ super().__init__() self.in_channels = in_channels self.hidden_channels = hidden_channels @@ -50,7 +59,9 @@ class ConvLayerNorm(nn.Module): class InvConvNear(nn.Module): - """Inversible Convolution with splitting. + """Invertible Convolution with input splitting as in GlowTTS paper. + https://arxiv.org/pdf/1811.00002.pdf + Args: channels (int): input and output channels. num_splits (int): number of splits, also H and W of conv layer. @@ -122,8 +133,8 @@ class InvConvNear(nn.Module): class CouplingBlock(nn.Module): - """Glow Affine Coupling block. - For details https://arxiv.org/pdf/1811.00002.pdf + """Glow Affine Coupling block as in GlowTTS paper. + https://arxiv.org/pdf/1811.00002.pdf x --> x0 -> conv1d -> wavenet -> conv1d --> t, s -> concat(s*x1 + t, x0) -> o '-> x1 - - - - - - - - - - - - - - - - - - - - - - - - - ^ diff --git a/TTS/tts/layers/glow_tts/transformer.py b/TTS/tts/layers/glow_tts/transformer.py index b3a045e5..a872a175 100644 --- a/TTS/tts/layers/glow_tts/transformer.py +++ b/TTS/tts/layers/glow_tts/transformer.py @@ -311,6 +311,8 @@ class RelativePositionTransformer(nn.Module): https://arxiv.org/abs/1803.02155 Args: + in_channels (int): number of channels of the input tensor. + out_chanels (int): number of channels of the output tensor. hidden_channels (int): model hidden channels. hidden_channels_ffn (int): hidden channels of FeedForwardNetwork. num_heads (int): number of attention heads. From c0a2aa68d3f0d4e5ce039de3902a40497d13e8e5 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 11 Jan 2021 17:25:39 +0100 Subject: [PATCH 101/108] formatting --- TTS/tts/layers/generic/wavenet.py | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/TTS/tts/layers/generic/wavenet.py b/TTS/tts/layers/generic/wavenet.py index d0a1f3e9..9906aa4a 100644 --- a/TTS/tts/layers/generic/wavenet.py +++ b/TTS/tts/layers/generic/wavenet.py @@ -84,30 +84,25 @@ class WN(torch.nn.Module): res_skip_layer = torch.nn.utils.weight_norm(res_skip_layer, name='weight') self.res_skip_layers.append(res_skip_layer) - + # setup weight norm if not weight_norm: self.remove_weight_norm() def forward(self, x, x_mask=None, g=None, **kwargs): # pylint: disable=unused-argument output = torch.zeros_like(x) n_channels_tensor = torch.IntTensor([self.hidden_channels]) - if g is not None: g = self.cond_layer(g) - for i in range(self.num_layers): x_in = self.in_layers[i](x) x_in = self.dropout(x_in) if g is not None: cond_offset = i * 2 * self.hidden_channels - g_l = g[:, - cond_offset:cond_offset + 2 * self.hidden_channels, :] + g_l = g[:, cond_offset:cond_offset + 2 * self.hidden_channels, :] else: g_l = torch.zeros_like(x_in) - acts = fused_add_tanh_sigmoid_multiply(x_in, g_l, n_channels_tensor) - res_skip_acts = self.res_skip_layers[i](acts) if i < self.num_layers - 1: x = (x + res_skip_acts[:, :self.hidden_channels, :]) * x_mask @@ -154,6 +149,7 @@ class WNBlocks(nn.Module): c_in_channels=0, dropout_p=0, weight_norm=True): + super().__init__() self.wn_blocks = nn.ModuleList() for idx in range(num_blocks): From 1d961d6f8a134c5bbb40ffeb6d79b6929737474c Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 11 Jan 2021 17:26:11 +0100 Subject: [PATCH 102/108] cladd renaming --- TTS/tts/layers/glow_tts/encoder.py | 19 ++++++++++++------- TTS/tts/layers/glow_tts/transformer.py | 22 ++++++++++++++++------ 2 files changed, 28 insertions(+), 13 deletions(-) diff --git a/TTS/tts/layers/glow_tts/encoder.py b/TTS/tts/layers/glow_tts/encoder.py index ab7aaba5..9a1508ee 100644 --- a/TTS/tts/layers/glow_tts/encoder.py +++ b/TTS/tts/layers/glow_tts/encoder.py @@ -5,10 +5,10 @@ from torch import nn from TTS.tts.layers.glow_tts.transformer import RelativePositionTransformer from TTS.tts.layers.generic.gated_conv import GatedConvBlock from TTS.tts.utils.generic_utils import sequence_mask -from TTS.tts.layers.glow_tts.glow import ConvLayerNorm +from TTS.tts.layers.glow_tts.glow import ResidualConv1dLayerNormBlock from TTS.tts.layers.glow_tts.duration_predictor import DurationPredictor from TTS.tts.layers.generic.time_depth_sep_conv import TimeDepthSeparableConvBlock -from TTS.tts.layers.generic.res_conv_bn import ResidualConvBNBlock +from TTS.tts.layers.generic.res_conv_bn import ResidualConv1dBNBlock class Encoder(nn.Module): @@ -97,14 +97,16 @@ class Encoder(nn.Module): # init encoder module if encoder_type.lower() == "rel_pos_transformer": if use_prenet: - self.prenet = ConvLayerNorm(hidden_channels, + self.prenet = ResidualConv1dLayerNormBlock(hidden_channels, hidden_channels, hidden_channels, kernel_size=5, num_layers=3, dropout_p=0.5) - self.encoder = RelativePositionTransformer( - hidden_channels, **encoder_params) + self.encoder = RelativePositionTransformer(hidden_channels, + hidden_channels, + hidden_channels, + **encoder_params) elif encoder_type.lower() == 'gated_conv': self.encoder = GatedConvBlock(hidden_channels, **encoder_params) elif encoder_type.lower() == 'residual_conv_bn': @@ -113,13 +115,16 @@ class Encoder(nn.Module): nn.Conv1d(hidden_channels, hidden_channels, 1), nn.ReLU() ) - self.encoder = ResidualConvBNBlock(hidden_channels, **encoder_params) + self.encoder = ResidualConv1dBNBlock(hidden_channels, + hidden_channels, + hidden_channels, + **encoder_params) self.postnet = nn.Sequential( nn.Conv1d(self.hidden_channels, self.hidden_channels, 1), nn.BatchNorm1d(self.hidden_channels)) elif encoder_type.lower() == 'time_depth_separable': if use_prenet: - self.prenet = ConvLayerNorm(hidden_channels, + self.prenet = ResidualConv1dLayerNormBlock(hidden_channels, hidden_channels, hidden_channels, kernel_size=5, diff --git a/TTS/tts/layers/glow_tts/transformer.py b/TTS/tts/layers/glow_tts/transformer.py index a872a175..81160006 100644 --- a/TTS/tts/layers/glow_tts/transformer.py +++ b/TTS/tts/layers/glow_tts/transformer.py @@ -264,7 +264,7 @@ class RelativePositionMultiHeadAttention(nn.Module): return diff.unsqueeze(0).unsqueeze(0) -class FFN(nn.Module): +class FeedForwardNetwork(nn.Module): """Feed Forward Inner layers for Transformer. Args: @@ -326,6 +326,8 @@ class RelativePositionTransformer(nn.Module): input_length (int, optional): input lenght to limit position encoding. Defaults to None. """ def __init__(self, + in_channels, + out_channels, hidden_channels, hidden_channels_ffn, num_heads, @@ -348,23 +350,31 @@ class RelativePositionTransformer(nn.Module): self.norm_layers_1 = nn.ModuleList() self.ffn_layers = nn.ModuleList() self.norm_layers_2 = nn.ModuleList() - for _ in range(self.num_layers): + + for idx in range(self.num_layers): self.attn_layers.append( RelativePositionMultiHeadAttention( - hidden_channels, + hidden_channels if idx != 0 else in_channels, hidden_channels, num_heads, rel_attn_window_size=rel_attn_window_size, dropout_p=dropout_p, input_length=input_length)) self.norm_layers_1.append(LayerNorm(hidden_channels)) + + if hidden_channels != out_channels and (idx + 1) == self.num_layers: + self.proj = nn.Conv1d(hidden_channels, out_channels, 1) + self.ffn_layers.append( - FFN(hidden_channels, - hidden_channels, + FeedForwardNetwork(hidden_channels, + hidden_channels if (idx + 1) != self.num_layers else out_channels, hidden_channels_ffn, kernel_size, dropout_p=dropout_p)) - self.norm_layers_2.append(LayerNorm(hidden_channels)) + + self.norm_layers_2.append( + LayerNorm(hidden_channels if ( + idx + 1) != self.num_layers else out_channels)) def forward(self, x, x_mask): """ From 79c841ccd39c04e1db2d9f40e2b1e5eb15480760 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 11 Jan 2021 17:26:58 +0100 Subject: [PATCH 103/108] mass refactoring and update --- TTS/tts/layers/glow_tts/transformer.py | 4 + TTS/tts/layers/speedy_speech/decoder.py | 201 +++++++++++++----- .../speedy_speech/duration_predictor.py | 8 +- TTS/tts/layers/speedy_speech/encoder.py | 122 +++++++---- TTS/tts/layers/tacotron.py | 3 +- TTS/tts/layers/tacotron2.py | 3 +- TTS/tts/models/tacotron.py | 2 +- TTS/tts/tf/layers/tacotron2.py | 2 +- tests/inputs/test_speedy_speech.json | 2 +- tests/test_speedy_speech_layers.py | 34 +++ 10 files changed, 287 insertions(+), 94 deletions(-) diff --git a/TTS/tts/layers/glow_tts/transformer.py b/TTS/tts/layers/glow_tts/transformer.py index 81160006..4feadc80 100644 --- a/TTS/tts/layers/glow_tts/transformer.py +++ b/TTS/tts/layers/glow_tts/transformer.py @@ -391,6 +391,10 @@ class RelativePositionTransformer(nn.Module): y = self.ffn_layers[i](x, x_mask) y = self.dropout(y) + + if (i + 1) == self.num_layers and hasattr(self, 'proj'): + x = self.proj(x) + x = self.norm_layers_2[i](x + y) x = x * x_mask return x diff --git a/TTS/tts/layers/speedy_speech/decoder.py b/TTS/tts/layers/speedy_speech/decoder.py index 9bbb047b..5ffb3339 100644 --- a/TTS/tts/layers/speedy_speech/decoder.py +++ b/TTS/tts/layers/speedy_speech/decoder.py @@ -1,9 +1,136 @@ +import torch from torch import nn -from TTS.tts.layers.generic.res_conv_bn import ConvBNBlock, ResidualConvBNBlock +from TTS.tts.layers.generic.res_conv_bn import Conv1dBNBlock, ResidualConv1dBNBlock, Conv1dBN from TTS.tts.layers.generic.wavenet import WNBlocks from TTS.tts.layers.glow_tts.transformer import RelativePositionTransformer +class WaveNetDecoder(nn.Module): + """WaveNet based decoder with a prenet and a postnet. + + prenet: conv1d_1x1 + postnet: 3 x [conv1d_1x1 -> relu] -> conv1d_1x1 + + TODO: Integrate speaker conditioning vector. + + Note: + default wavenet parameters; + params = { + "num_blocks": 12, + "hidden_channels":192, + "kernel_size": 5, + "dilation_rate": 1, + "num_layers": 4, + "dropout_p": 0.05 + } + + Args: + in_channels (int): number of input channels. + out_channels (int): number of output channels. + hidden_channels (int): number of hidden channels for prenet and postnet. + params (dict): dictionary for residual convolutional blocks. + """ + def __init__(self, in_channels, out_channels, hidden_channels, c_in_channels, params): + super().__init__() + # prenet + self.prenet = torch.nn.Conv1d(in_channels, params['hidden_channels'], 1) + # wavenet layers + self.wn = WNBlocks(params['hidden_channels'], c_in_channels=c_in_channels, **params) + # postnet + self.postnet = [ + torch.nn.Conv1d(params['hidden_channels'], hidden_channels, 1), + torch.nn.ReLU(), + torch.nn.Conv1d(hidden_channels, hidden_channels, 1), + torch.nn.ReLU(), + torch.nn.Conv1d(hidden_channels, hidden_channels, 1), + torch.nn.ReLU(), + torch.nn.Conv1d(hidden_channels, out_channels, 1), + ] + self.postnet = nn.Sequential(*self.postnet) + + def forward(self, x, x_mask=None, g=None): + x = self.prenet(x) * x_mask + x = self.wn(x, x_mask, g) + o = self.postnet(x) * x_mask + return o + + +class RelativePositionTransformerDecoder(nn.Module): + """Decoder with Relative Positional Transformer. + + Note: + Default params + params={ + 'hidden_channels_ffn': 128, + 'num_heads': 2, + "kernel_size": 3, + "dropout_p": 0.1, + "num_layers": 8, + "rel_attn_window_size": 4, + "input_length": None + } + + Args: + in_channels (int): number of input channels. + out_channels (int): number of output channels. + hidden_channels (int): number of hidden channels including Transformer layers. + params (dict): dictionary for residual convolutional blocks. + """ + def __init__(self, in_channels, out_channels, hidden_channels, params): + + super().__init__() + self.prenet = Conv1dBN(in_channels, hidden_channels, 1, 1) + self.rel_pos_transformer = RelativePositionTransformer( + in_channels, out_channels, hidden_channels, **params) + + def forward(self, x, x_mask=None, g=None): # pylint: disable=unused-argument + o = self.prenet(x) * x_mask + o = self.rel_pos_transformer(o, x_mask) + return o + + +class ResidualConv1dBNDecoder(nn.Module): + """Residual Convolutional Decoder as in the original Speedy Speech paper + + TODO: Integrate speaker conditioning vector. + + Note: + Default params + params = { + "kernel_size": 4, + "dilations": 4 * [1, 2, 4, 8] + [1], + "num_conv_blocks": 2, + "num_res_blocks": 17 + } + + Args: + in_channels (int): number of input channels. + out_channels (int): number of output channels. + hidden_channels (int): number of hidden channels including ResidualConv1dBNBlock layers. + params (dict): dictionary for residual convolutional blocks. + """ + def __init__(self, in_channels, out_channels, hidden_channels, params): + super().__init__() + self.res_conv_block = ResidualConv1dBNBlock(in_channels, + hidden_channels, + hidden_channels, **params) + self.post_conv = nn.Conv1d(hidden_channels, hidden_channels, 1) + self.postnet = nn.Sequential( + Conv1dBNBlock(hidden_channels, + hidden_channels, + hidden_channels, + params['kernel_size'], + 1, + num_conv_blocks=2), + nn.Conv1d(hidden_channels, out_channels, 1), + ) + + def forward(self, x, x_mask=None, g=None): # pylint: disable=unused-argument + o = self.res_conv_block(x, x_mask) + o = self.post_conv(o) + x + return self.postnet(o) * x_mask + + class Decoder(nn.Module): """Decodes the expanded phoneme encoding into spectrograms Args: @@ -15,39 +142,8 @@ class Decoder(nn.Module): Shapes: - input: (B, C, T) - - Note: - Default decoder_params... - - for 'transformer' - decoder_params={ - 'hidden_channels_ffn': 128, - 'num_heads': 2, - "kernel_size": 3, - "dropout_p": 0.1, - "num_layers": 8, - "rel_attn_window_size": 4, - "input_length": None - }, - - for 'residual_conv_bn' - decoder_params = { - "kernel_size": 4, - "dilations": 4 * [1, 2, 4, 8] + [1], - "num_conv_blocks": 2, - "num_res_blocks": 17 - } - - for 'wavenet' - decoder_params = { - "num_blocks": 12, - "hidden_channels":192, - "kernel_size": 5, - "dilation_rate": 1, - "num_layers": 4, - "dropout_p": 0.05 - } """ + # pylint: disable=dangerous-default-value def __init__( self, @@ -62,28 +158,35 @@ class Decoder(nn.Module): }, c_in_channels=0): super().__init__() - self.in_channels = in_hidden_channels - self.hidden_channels = in_hidden_channels - self.out_channels = out_channels if decoder_type == 'transformer': - self.decoder = RelativePositionTransformer(self.hidden_channels, **decoder_params) + self.decoder = RelativePositionTransformerDecoder( + in_channels=in_hidden_channels, + out_channels=out_channels, + hidden_channels=in_hidden_channels, + params=decoder_params) elif decoder_type == 'residual_conv_bn': - self.decoder = ResidualConvBNBlock(self.hidden_channels, - **decoder_params) + self.decoder = ResidualConv1dBNDecoder( + in_channels=in_hidden_channels, + out_channels=out_channels, + hidden_channels=in_hidden_channels, + params=decoder_params) elif decoder_type == 'wavenet': - self.decoder = WNBlocks(in_channels=self.in_channels, hidden_channels=self.hidden_channels, **decoder_params) + self.decoder = WaveNetDecoder(in_channels=in_hidden_channels, + out_channels=out_channels, + hidden_channels=in_hidden_channels, + c_in_channels=c_in_channels, + params=decoder_params) else: raise ValueError(f'[!] Unknown decoder type - {decoder_type}') - self.post_conv = nn.Conv1d(self.hidden_channels, self.hidden_channels, 1) - self.post_net = nn.Sequential( - ConvBNBlock(self.hidden_channels, decoder_params['kernel_size'], 1, num_conv_blocks=2), - nn.Conv1d(self.hidden_channels, out_channels, 1), - ) - def forward(self, x, x_mask, g=None): # pylint: disable=unused-argument + """ + Args: + x: [B, C, T] + x_mask: [B, 1, T] + g: [B, C_g, 1] + """ # TODO: implement multi-speaker - o = self.decoder(x, x_mask) - o = self.post_conv(o) + x - return self.post_net(o) * x_mask + o = self.decoder(x, x_mask, g) + return o \ No newline at end of file diff --git a/TTS/tts/layers/speedy_speech/duration_predictor.py b/TTS/tts/layers/speedy_speech/duration_predictor.py index 153a6a49..5c5c4f3a 100644 --- a/TTS/tts/layers/speedy_speech/duration_predictor.py +++ b/TTS/tts/layers/speedy_speech/duration_predictor.py @@ -1,6 +1,6 @@ from torch import nn -from TTS.tts.layers.generic.res_conv_bn import ConvBN +from TTS.tts.layers.generic.res_conv_bn import Conv1dBN class DurationPredictor(nn.Module): @@ -21,9 +21,9 @@ class DurationPredictor(nn.Module): super().__init__() self.layers = nn.ModuleList([ - ConvBN(hidden_channels, 4, 1), - ConvBN(hidden_channels, 3, 1), - ConvBN(hidden_channels, 1, 1), + Conv1dBN(hidden_channels, hidden_channels, 4, 1), + Conv1dBN(hidden_channels, hidden_channels, 3, 1), + Conv1dBN(hidden_channels, hidden_channels, 1, 1), nn.Conv1d(hidden_channels, 1, 1) ]) diff --git a/TTS/tts/layers/speedy_speech/encoder.py b/TTS/tts/layers/speedy_speech/encoder.py index 02468626..d26b306c 100644 --- a/TTS/tts/layers/speedy_speech/encoder.py +++ b/TTS/tts/layers/speedy_speech/encoder.py @@ -1,11 +1,10 @@ import math import torch from torch import nn -from torch.nn import functional as F from TTS.tts.layers.glow_tts.transformer import RelativePositionTransformer -from TTS.tts.layers.glow_tts.glow import ConvLayerNorm -from TTS.tts.layers.generic.res_conv_bn import ResidualConvBNBlock +from TTS.tts.layers.generic.res_conv_bn import ResidualConv1dBNBlock + class PositionalEncoding(nn.Module): @@ -18,12 +17,13 @@ class PositionalEncoding(nn.Module): def __init__(self, channels, dropout=0.0, max_len=5000): super().__init__() if channels % 2 != 0: - raise ValueError("Cannot use sin/cos positional encoding with " - "odd channels (got channels={:d})".format(channels)) + raise ValueError( + "Cannot use sin/cos positional encoding with " + "odd channels (got channels={:d})".format(channels)) pe = torch.zeros(max_len, channels) position = torch.arange(0, max_len).unsqueeze(1) div_term = torch.exp((torch.arange(0, channels, 2, dtype=torch.float) * - -(math.log(10000.0) / channels))) + -(math.log(10000.0) / channels))) pe[:, 0::2] = torch.sin(position.float() * div_term) pe[:, 1::2] = torch.cos(position.float() * div_term) pe = pe.unsqueeze(0).transpose(1, 2) @@ -59,9 +59,77 @@ class PositionalEncoding(nn.Module): return x +class RelativePositionTransformerEncoder(nn.Module): + """Speedy speech encoder built on Transformer with Relative Position encoding. + + TODO: Integrate speaker conditioning vector. + + Args: + in_channels (int): number of input channels. + out_channels (int): number of output channels. + hidden_channels (int): number of hidden channels + params (dict): dictionary for residual convolutional blocks. + """ + def __init__(self, in_channels, out_channels, hidden_channels, params): + super().__init__() + self.prenet = ResidualConv1dBNBlock(in_channels, + hidden_channels, + hidden_channels, + kernel_size=5, + num_res_blocks=3, + num_conv_blocks=1, + dilations=[1, 1, 1] + ) + self.rel_pos_transformer = RelativePositionTransformer( + hidden_channels, out_channels, hidden_channels, **params) + + def forward(self, x, x_mask=None, g=None): # pylint: disable=unused-argument + if x_mask is None: + x_mask = 1 + o = self.prenet(x) * x_mask + o = self.rel_pos_transformer(o, x_mask) + return o + + +class ResidualConv1dBNEncoder(nn.Module): + """Residual Convolutional Encoder as in the original Speedy Speech paper + + TODO: Integrate speaker conditioning vector. + + Args: + in_channels (int): number of input channels. + out_channels (int): number of output channels. + hidden_channels (int): number of hidden channels + params (dict): dictionary for residual convolutional blocks. + """ + def __init__(self, in_channels, out_channels, hidden_channels, params): + super().__init__() + self.prenet = nn.Sequential( + nn.Conv1d(in_channels, hidden_channels, 1), + nn.ReLU()) + self.res_conv_block = ResidualConv1dBNBlock(hidden_channels, + hidden_channels, + hidden_channels, **params) + + self.postnet = nn.Sequential(*[ + nn.Conv1d(hidden_channels, hidden_channels, 1), + nn.ReLU(), + nn.BatchNorm1d(hidden_channels), + nn.Conv1d(hidden_channels, out_channels, 1) + ]) + + def forward(self, x, x_mask=None, g=None): # pylint: disable=unused-argument + if x_mask is None: + x_mask = 1 + o = self.prenet(x) * x_mask + o = self.res_conv_block(o, x_mask) + o = self.postnet(o + x) * x_mask + return o * x_mask + + class Encoder(nn.Module): # pylint: disable=dangerous-default-value - """Speedy-Speech encoder using Transformers or Residual BN Convs internally. + """Factory class for Speedy Speech encoder enables different encoder types internally. Args: num_chars (int): number of characters. @@ -114,29 +182,21 @@ class Encoder(nn.Module): # init encoder if encoder_type.lower() == "transformer": - # optional convolutional prenet - self.pre = ConvLayerNorm(self.in_channels, - self.hidden_channels, - self.hidden_channels, - kernel_size=5, - num_layers=3, - dropout_p=0.5) # text encoder - self.encoder = RelativePositionTransformer(self.hidden_channels, **encoder_params) # pylint: disable=unexpected-keyword-arg + self.encoder = RelativePositionTransformerEncoder(in_hidden_channels, + out_channels, + in_hidden_channels, + encoder_params) # pylint: disable=unexpected-keyword-arg elif encoder_type.lower() == 'residual_conv_bn': - self.pre = nn.Sequential( - nn.Conv1d(self.in_channels, self.hidden_channels, 1), - nn.ReLU()) - self.encoder = ResidualConvBNBlock(self.hidden_channels, - **encoder_params) + self.encoder = ResidualConv1dBNEncoder(in_hidden_channels, + out_channels, + in_hidden_channels, + encoder_params) else: - raise NotImplementedError(' [!] encoder type not implemented.') + raise NotImplementedError(' [!] unknown encoder type.') # final projection layers - self.post_conv = nn.Conv1d(self.hidden_channels, self.hidden_channels, - 1) - self.post_bn = nn.BatchNorm1d(self.hidden_channels) - self.post_conv2 = nn.Conv1d(self.hidden_channels, self.out_channels, 1) + def forward(self, x, x_mask, g=None): # pylint: disable=unused-argument """ @@ -145,15 +205,5 @@ class Encoder(nn.Module): x_mask: [B, 1, T] g: [B, C, 1] """ - # TODO: implement multi-speaker - if self.encoder_type == 'transformer': - o = self.pre(x, x_mask) - else: - o = self.pre(x) * x_mask - o = self.encoder(o, x_mask) - o = self.post_conv(o + x) - o = F.relu(o) - o = self.post_bn(o) - o = self.post_conv2(o) - # [B, C, T] + o = self.encoder(x, x_mask) return o * x_mask diff --git a/TTS/tts/layers/tacotron.py b/TTS/tts/layers/tacotron.py index 807282b3..c79edcc3 100644 --- a/TTS/tts/layers/tacotron.py +++ b/TTS/tts/layers/tacotron.py @@ -1,7 +1,8 @@ # coding: utf-8 import torch from torch import nn -from .common_layers import Prenet, init_attn +from .common_layers import Prenet +from .attentions import init_attn class BatchNormConv1d(nn.Module): diff --git a/TTS/tts/layers/tacotron2.py b/TTS/tts/layers/tacotron2.py index a02db784..8e6dbc15 100644 --- a/TTS/tts/layers/tacotron2.py +++ b/TTS/tts/layers/tacotron2.py @@ -1,7 +1,8 @@ import torch from torch import nn from torch.nn import functional as F -from .common_layers import init_attn, Prenet, Linear +from .common_layers import Prenet, Linear +from .attentions import init_attn # NOTE: linter has a problem with the current TF release #pylint: disable=no-value-for-parameter diff --git a/TTS/tts/models/tacotron.py b/TTS/tts/models/tacotron.py index 61eea893..0b68a96c 100644 --- a/TTS/tts/models/tacotron.py +++ b/TTS/tts/models/tacotron.py @@ -18,7 +18,7 @@ class Tacotron(TacotronAbstract): r (int): initial model reduction rate. postnet_output_dim (int, optional): postnet output channels. Defaults to 80. decoder_output_dim (int, optional): decoder output channels. Defaults to 80. - attn_type (str, optional): attention type. Check ```TTS.tts.layers.common_layers.init_attn```. Defaults to 'original'. + attn_type (str, optional): attention type. Check ```TTS.tts.layers.attentions.init_attn```. Defaults to 'original'. attn_win (bool, optional): enable/disable attention windowing. It especially useful at inference to keep attention alignment diagonal. Defaults to False. attn_norm (str, optional): Attention normalization method. "sigmoid" or "softmax". Defaults to "softmax". diff --git a/TTS/tts/tf/layers/tacotron2.py b/TTS/tts/tf/layers/tacotron2.py index 20d5f9a4..50a766a9 100644 --- a/TTS/tts/tf/layers/tacotron2.py +++ b/TTS/tts/tf/layers/tacotron2.py @@ -2,7 +2,7 @@ import tensorflow as tf from tensorflow import keras from TTS.tts.tf.utils.tf_utils import shape_list from TTS.tts.tf.layers.common_layers import Prenet, Attention -# from tensorflow_addons.seq2seq import AttentionWrapper + # NOTE: linter has a problem with the current TF release #pylint: disable=no-value-for-parameter diff --git a/tests/inputs/test_speedy_speech.json b/tests/inputs/test_speedy_speech.json index 2a4b3a45..ae4b8b2d 100644 --- a/tests/inputs/test_speedy_speech.json +++ b/tests/inputs/test_speedy_speech.json @@ -37,7 +37,7 @@ "symmetric_norm": true, // move normalization to range [-1, 1] "max_norm": 4.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm] "clip_norm": true, // clip normalized values into the range. - "stats_path": "/home/erogol/Data/LJSpeech-1.1/scale_stats.npy" // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored + "stats_path": null // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored }, // VOCABULARY PARAMETERS diff --git a/tests/test_speedy_speech_layers.py b/tests/test_speedy_speech_layers.py index 33a5e615..a5567ac3 100644 --- a/tests/test_speedy_speech_layers.py +++ b/tests/test_speedy_speech_layers.py @@ -50,10 +50,44 @@ def test_decoder(): input_mask = torch.unsqueeze( sequence_mask(input_lengths, input_dummy.size(2)), 1).to(device) + # residual bn conv decoder layer = Decoder(out_channels=11, in_hidden_channels=128).to(device) output = layer(input_dummy, input_mask) assert list(output.shape) == [8, 11, 37] + # transformer decoder + layer = Decoder(out_channels=11, + in_hidden_channels=128, + decoder_type='transformer', + decoder_params={ + 'hidden_channels_ffn': 128, + 'num_heads': 2, + "kernel_size": 3, + "dropout_p": 0.1, + "num_layers": 8, + "rel_attn_window_size": 4, + "input_length": None + }).to(device) + output = layer(input_dummy, input_mask) + assert list(output.shape) == [8, 11, 37] + + + # wavenet decoder + layer = Decoder(out_channels=11, + in_hidden_channels=128, + decoder_type='wavenet', + decoder_params={ + "num_blocks": 12, + "hidden_channels": 192, + "kernel_size": 5, + "dilation_rate": 1, + "num_layers": 4, + "dropout_p": 0.05 + }).to(device) + output = layer(input_dummy, input_mask) + assert list(output.shape) == [8, 11, 37] + + def test_duration_predictor(): input_dummy = torch.rand(8, 128, 27).to(device) From bbc8d665a15057a9010e7b77286259ca1bf622b2 Mon Sep 17 00:00:00 2001 From: erogol Date: Mon, 11 Jan 2021 17:27:30 +0100 Subject: [PATCH 104/108] move attention layers to a sperate file --- TTS/tts/layers/attentions.py | 482 +++++++++++++++++++++++++++++++++++ 1 file changed, 482 insertions(+) create mode 100644 TTS/tts/layers/attentions.py diff --git a/TTS/tts/layers/attentions.py b/TTS/tts/layers/attentions.py new file mode 100644 index 00000000..047e3b23 --- /dev/null +++ b/TTS/tts/layers/attentions.py @@ -0,0 +1,482 @@ +import torch +from torch import nn +from torch.nn import functional as F + +from TTS.tts.layers.common_layers import Linear +from scipy.stats import betabinom + + +class LocationLayer(nn.Module): + """Layers for Location Sensitive Attention + + Args: + attention_dim (int): number of channels in the input tensor. + attention_n_filters (int, optional): number of filters in convolution. Defaults to 32. + attention_kernel_size (int, optional): kernel size of convolution filter. Defaults to 31. + """ + def __init__(self, + attention_dim, + attention_n_filters=32, + attention_kernel_size=31): + super(LocationLayer, self).__init__() + self.location_conv1d = nn.Conv1d( + in_channels=2, + out_channels=attention_n_filters, + kernel_size=attention_kernel_size, + stride=1, + padding=(attention_kernel_size - 1) // 2, + bias=False) + self.location_dense = Linear( + attention_n_filters, attention_dim, bias=False, init_gain='tanh') + + def forward(self, attention_cat): + """ + Shapes: + attention_cat: [B, 2, C] + """ + processed_attention = self.location_conv1d(attention_cat) + processed_attention = self.location_dense( + processed_attention.transpose(1, 2)) + return processed_attention + + +class GravesAttention(nn.Module): + """Graves Attention as is ref1 with updates from ref2. + ref1: https://arxiv.org/abs/1910.10288 + ref2: https://arxiv.org/pdf/1906.01083.pdf + + Args: + query_dim (int): number of channels in query tensor. + K (int): number of Gaussian heads to be used for computing attention. + """ + COEF = 0.3989422917366028 # numpy.sqrt(1/(2*numpy.pi)) + + def __init__(self, query_dim, K): + + super(GravesAttention, self).__init__() + self._mask_value = 1e-8 + self.K = K + # self.attention_alignment = 0.05 + self.eps = 1e-5 + self.J = None + self.N_a = nn.Sequential( + nn.Linear(query_dim, query_dim, bias=True), + nn.ReLU(), + nn.Linear(query_dim, 3*K, bias=True)) + self.attention_weights = None + self.mu_prev = None + self.init_layers() + + def init_layers(self): + torch.nn.init.constant_(self.N_a[2].bias[(2*self.K):(3*self.K)], 1.) # bias mean + torch.nn.init.constant_(self.N_a[2].bias[self.K:(2*self.K)], 10) # bias std + + def init_states(self, inputs): + if self.J is None or inputs.shape[1]+1 > self.J.shape[-1]: + self.J = torch.arange(0, inputs.shape[1]+2.0).to(inputs.device) + 0.5 + self.attention_weights = torch.zeros(inputs.shape[0], inputs.shape[1]).to(inputs.device) + self.mu_prev = torch.zeros(inputs.shape[0], self.K).to(inputs.device) + + # pylint: disable=R0201 + # pylint: disable=unused-argument + def preprocess_inputs(self, inputs): + return None + + def forward(self, query, inputs, processed_inputs, mask): + """ + Shapes: + query: [B, C_attention_rnn] + inputs: [B, T_in, C_encoder] + processed_inputs: place_holder + mask: [B, T_in] + """ + gbk_t = self.N_a(query) + gbk_t = gbk_t.view(gbk_t.size(0), -1, self.K) + + # attention model parameters + # each B x K + g_t = gbk_t[:, 0, :] + b_t = gbk_t[:, 1, :] + k_t = gbk_t[:, 2, :] + + # dropout to decorrelate attention heads + g_t = torch.nn.functional.dropout(g_t, p=0.5, training=self.training) + + # attention GMM parameters + sig_t = torch.nn.functional.softplus(b_t) + self.eps + + mu_t = self.mu_prev + torch.nn.functional.softplus(k_t) + g_t = torch.softmax(g_t, dim=-1) + self.eps + + j = self.J[:inputs.size(1)+1] + + # attention weights + phi_t = g_t.unsqueeze(-1) * (1 / (1 + torch.sigmoid((mu_t.unsqueeze(-1) - j) / sig_t.unsqueeze(-1)))) + + # discritize attention weights + alpha_t = torch.sum(phi_t, 1) + alpha_t = alpha_t[:, 1:] - alpha_t[:, :-1] + alpha_t[alpha_t == 0] = 1e-8 + + # apply masking + if mask is not None: + alpha_t.data.masked_fill_(~mask, self._mask_value) + + context = torch.bmm(alpha_t.unsqueeze(1), inputs).squeeze(1) + self.attention_weights = alpha_t + self.mu_prev = mu_t + return context + + +class OriginalAttention(nn.Module): + """Bahdanau Attention with various optional modifications. Proposed below. + - Location sensitive attnetion: https://arxiv.org/abs/1712.05884 + - Forward Attention: https://arxiv.org/abs/1807.06736 + state masking at inference + - Using sigmoid instead of softmax normalization + - Attention windowing at inference time + + Note: + Location Sensitive Attention is an attention mechanism that extends the additive attention mechanism + to use cumulative attention weights from previous decoder time steps as an additional feature. + + Forward attention considers only the alignment paths that satisfy the monotonic condition at each + decoder timestep. The modified attention probabilities at each timestep are computed recursively + using a forward algorithm. + + Transition agent for forward attention is further proposed, which helps the attention mechanism + to make decisions whether to move forward or stay at each decoder timestep. + + Attention windowing applies a sliding windows to time steps of the input tensor centering at the last + time step with the largest attention weight. It is especially useful at inference to keep the attention + alignment diagonal. + + + Args: + query_dim (int): number of channels in the query tensor. + embedding_dim (int): number of channels in the vakue tensor. In general, the value tensor is the output of the encoder layer. + attention_dim (int): number of channels of the inner attention layers. + location_attention (bool): enable/disable location sensitive attention. + attention_location_n_filters (int): number of location attention filters. + attention_location_kernel_size (int): filter size of location attention convolution layer. + windowing (int): window size for attention windowing. if it is 5, for computing the attention, it only considers the time steps [(t-5), ..., (t+5)] of the input. + norm (str): normalization method applied to the attention weights. 'softmax' or 'sigmoid' + forward_attn (bool): enable/disable forward attention. + trans_agent (bool): enable/disable transition agent in the forward attention. + forward_attn_mask (int): enable/disable an explicit masking in forward attention. It is useful to set at especially inference time. + """ + # Pylint gets confused by PyTorch conventions here + #pylint: disable=attribute-defined-outside-init + def __init__(self, query_dim, embedding_dim, attention_dim, + location_attention, attention_location_n_filters, + attention_location_kernel_size, windowing, norm, forward_attn, + trans_agent, forward_attn_mask): + super(OriginalAttention, self).__init__() + self.query_layer = Linear( + query_dim, attention_dim, bias=False, init_gain='tanh') + self.inputs_layer = Linear( + embedding_dim, attention_dim, bias=False, init_gain='tanh') + self.v = Linear(attention_dim, 1, bias=True) + if trans_agent: + self.ta = nn.Linear( + query_dim + embedding_dim, 1, bias=True) + if location_attention: + self.location_layer = LocationLayer( + attention_dim, + attention_location_n_filters, + attention_location_kernel_size, + ) + self._mask_value = -float("inf") + self.windowing = windowing + self.win_idx = None + self.norm = norm + self.forward_attn = forward_attn + self.trans_agent = trans_agent + self.forward_attn_mask = forward_attn_mask + self.location_attention = location_attention + + def init_win_idx(self): + self.win_idx = -1 + self.win_back = 2 + self.win_front = 6 + + def init_forward_attn(self, inputs): + B = inputs.shape[0] + T = inputs.shape[1] + self.alpha = torch.cat( + [torch.ones([B, 1]), + torch.zeros([B, T])[:, :-1] + 1e-7], dim=1).to(inputs.device) + self.u = (0.5 * torch.ones([B, 1])).to(inputs.device) + + def init_location_attention(self, inputs): + B = inputs.size(0) + T = inputs.size(1) + self.attention_weights_cum = torch.zeros([B, T], device=inputs.device) + + def init_states(self, inputs): + B = inputs.size(0) + T = inputs.size(1) + self.attention_weights = torch.zeros([B, T], device=inputs.device) + if self.location_attention: + self.init_location_attention(inputs) + if self.forward_attn: + self.init_forward_attn(inputs) + if self.windowing: + self.init_win_idx() + + def preprocess_inputs(self, inputs): + return self.inputs_layer(inputs) + + def update_location_attention(self, alignments): + self.attention_weights_cum += alignments + + def get_location_attention(self, query, processed_inputs): + attention_cat = torch.cat((self.attention_weights.unsqueeze(1), + self.attention_weights_cum.unsqueeze(1)), + dim=1) + processed_query = self.query_layer(query.unsqueeze(1)) + processed_attention_weights = self.location_layer(attention_cat) + energies = self.v( + torch.tanh(processed_query + processed_attention_weights + + processed_inputs)) + energies = energies.squeeze(-1) + return energies, processed_query + + def get_attention(self, query, processed_inputs): + processed_query = self.query_layer(query.unsqueeze(1)) + energies = self.v(torch.tanh(processed_query + processed_inputs)) + energies = energies.squeeze(-1) + return energies, processed_query + + def apply_windowing(self, attention, inputs): + back_win = self.win_idx - self.win_back + front_win = self.win_idx + self.win_front + if back_win > 0: + attention[:, :back_win] = -float("inf") + if front_win < inputs.shape[1]: + attention[:, front_win:] = -float("inf") + # this is a trick to solve a special problem. + # but it does not hurt. + if self.win_idx == -1: + attention[:, 0] = attention.max() + # Update the window + self.win_idx = torch.argmax(attention, 1).long()[0].item() + return attention + + def apply_forward_attention(self, alignment): + # forward attention + fwd_shifted_alpha = F.pad( + self.alpha[:, :-1].clone().to(alignment.device), (1, 0, 0, 0)) + # compute transition potentials + alpha = ((1 - self.u) * self.alpha + + self.u * fwd_shifted_alpha + + 1e-8) * alignment + # force incremental alignment + if not self.training and self.forward_attn_mask: + _, n = fwd_shifted_alpha.max(1) + val, _ = alpha.max(1) + for b in range(alignment.shape[0]): + alpha[b, n[b] + 3:] = 0 + alpha[b, :( + n[b] - 1 + )] = 0 # ignore all previous states to prevent repetition. + alpha[b, + (n[b] - 2 + )] = 0.01 * val[b] # smoothing factor for the prev step + # renormalize attention weights + alpha = alpha / alpha.sum(dim=1, keepdim=True) + return alpha + + def forward(self, query, inputs, processed_inputs, mask): + """ + shapes: + query: [B, C_attn_rnn] + inputs: [B, T_en, D_en] + processed_inputs: [B, T_en, D_attn] + mask: [B, T_en] + """ + if self.location_attention: + attention, _ = self.get_location_attention( + query, processed_inputs) + else: + attention, _ = self.get_attention( + query, processed_inputs) + # apply masking + if mask is not None: + attention.data.masked_fill_(~mask, self._mask_value) + # apply windowing - only in eval mode + if not self.training and self.windowing: + attention = self.apply_windowing(attention, inputs) + + # normalize attention values + if self.norm == "softmax": + alignment = torch.softmax(attention, dim=-1) + elif self.norm == "sigmoid": + alignment = torch.sigmoid(attention) / torch.sigmoid( + attention).sum( + dim=1, keepdim=True) + else: + raise ValueError("Unknown value for attention norm type") + + if self.location_attention: + self.update_location_attention(alignment) + + # apply forward attention if enabled + if self.forward_attn: + alignment = self.apply_forward_attention(alignment) + self.alpha = alignment + + context = torch.bmm(alignment.unsqueeze(1), inputs) + context = context.squeeze(1) + self.attention_weights = alignment + + # compute transition agent + if self.forward_attn and self.trans_agent: + ta_input = torch.cat([context, query.squeeze(1)], dim=-1) + self.u = torch.sigmoid(self.ta(ta_input)) + return context + + +class MonotonicDynamicConvolutionAttention(nn.Module): + """Dynamic convolution attention from + https://arxiv.org/pdf/1910.10288.pdf + + + query -> linear -> tanh -> linear ->| + | mask values + v | | + atten_w(t-1) -|-> conv1d_dynamic -> linear -|-> tanh -> + -> softmax -> * -> * -> context + |-> conv1d_static -> linear -| | + |-> conv1d_prior -> log ----------------| + + query: attention rnn output. + + Note: + Dynamic convolution attention is an alternation of the location senstive attention with + dynamically computed convolution filters from the previous attention scores and a set of + constraints to keep the attention alignment diagonal. + + Args: + query_dim (int): number of channels in the query tensor. + embedding_dim (int): number of channels in the value tensor. + static_filter_dim (int): number of channels in the convolution layer computing the static filters. + static_kernel_size (int): kernel size for the convolution layer computing the static filters. + dynamic_filter_dim (int): number of channels in the convolution layer computing the dynamic filters. + dynamic_kernel_size (int): kernel size for the convolution layer computing the dynamic filters. + prior_filter_len (int, optional): [description]. Defaults to 11 from the paper. + alpha (float, optional): [description]. Defaults to 0.1 from the paper. + beta (float, optional): [description]. Defaults to 0.9 from the paper. + """ + def __init__( + self, + query_dim, + embedding_dim, # pylint: disable=unused-argument + attention_dim, + static_filter_dim, + static_kernel_size, + dynamic_filter_dim, + dynamic_kernel_size, + prior_filter_len=11, + alpha=0.1, + beta=0.9, + ): + super().__init__() + self._mask_value = 1e-8 + self.dynamic_filter_dim = dynamic_filter_dim + self.dynamic_kernel_size = dynamic_kernel_size + self.prior_filter_len = prior_filter_len + self.attention_weights = None + # setup key and query layers + self.query_layer = nn.Linear(query_dim, attention_dim) + self.key_layer = nn.Linear( + attention_dim, dynamic_filter_dim * dynamic_kernel_size, bias=False + ) + self.static_filter_conv = nn.Conv1d( + 1, + static_filter_dim, + static_kernel_size, + padding=(static_kernel_size - 1) // 2, + bias=False, + ) + self.static_filter_layer = nn.Linear(static_filter_dim, attention_dim, bias=False) + self.dynamic_filter_layer = nn.Linear(dynamic_filter_dim, attention_dim) + self.v = nn.Linear(attention_dim, 1, bias=False) + + prior = betabinom.pmf(range(prior_filter_len), prior_filter_len - 1, + alpha, beta) + self.register_buffer("prior", torch.FloatTensor(prior).flip(0)) + + # pylint: disable=unused-argument + def forward(self, query, inputs, processed_inputs, mask): + """ + query: [B, C_attn_rnn] + inputs: [B, T_en, D_en] + processed_inputs: place holder. + mask: [B, T_en] + """ + # compute prior filters + prior_filter = F.conv1d( + F.pad(self.attention_weights.unsqueeze(1), + (self.prior_filter_len - 1, 0)), self.prior.view(1, 1, -1)) + prior_filter = torch.log(prior_filter.clamp_min_(1e-6)).squeeze(1) + G = self.key_layer(torch.tanh(self.query_layer(query))) + # compute dynamic filters + dynamic_filter = F.conv1d( + self.attention_weights.unsqueeze(0), + G.view(-1, 1, self.dynamic_kernel_size), + padding=(self.dynamic_kernel_size - 1) // 2, + groups=query.size(0), + ) + dynamic_filter = dynamic_filter.view(query.size(0), self.dynamic_filter_dim, -1).transpose(1, 2) + # compute static filters + static_filter = self.static_filter_conv(self.attention_weights.unsqueeze(1)).transpose(1, 2) + alignment = self.v( + torch.tanh( + self.static_filter_layer(static_filter) + + self.dynamic_filter_layer(dynamic_filter))).squeeze(-1) + prior_filter + # compute attention weights + attention_weights = F.softmax(alignment, dim=-1) + # apply masking + if mask is not None: + attention_weights.data.masked_fill_(~mask, self._mask_value) + self.attention_weights = attention_weights + # compute context + context = torch.bmm(attention_weights.unsqueeze(1), inputs).squeeze(1) + return context + + def preprocess_inputs(self, inputs): # pylint: disable=no-self-use + return None + + def init_states(self, inputs): + B = inputs.size(0) + T = inputs.size(1) + self.attention_weights = torch.zeros([B, T], device=inputs.device) + self.attention_weights[:, 0] = 1. + + +def init_attn(attn_type, query_dim, embedding_dim, attention_dim, + location_attention, attention_location_n_filters, + attention_location_kernel_size, windowing, norm, forward_attn, + trans_agent, forward_attn_mask, attn_K): + if attn_type == "original": + return OriginalAttention(query_dim, embedding_dim, attention_dim, + location_attention, + attention_location_n_filters, + attention_location_kernel_size, windowing, + norm, forward_attn, trans_agent, + forward_attn_mask) + if attn_type == "graves": + return GravesAttention(query_dim, attn_K) + if attn_type == "dynamic_convolution": + return MonotonicDynamicConvolutionAttention(query_dim, + embedding_dim, + attention_dim, + static_filter_dim=8, + static_kernel_size=21, + dynamic_filter_dim=8, + dynamic_kernel_size=21, + prior_filter_len=11, + alpha=0.1, + beta=0.9) + + raise RuntimeError( + " [!] Given Attention Type '{attn_type}' is not exist.") From c36b46ee2529b27e88a3ec2b7f0baf0c5ad4628e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Eren=20G=C3=B6lge?= Date: Tue, 12 Jan 2021 16:32:15 +0100 Subject: [PATCH 105/108] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index ee7e5714..300bb405 100644 --- a/README.md +++ b/README.md @@ -66,6 +66,7 @@ Please use our dedicated channels for questions and discussion. Help is much mor - Tacotron: [paper](https://arxiv.org/abs/1703.10135) - Tacotron2: [paper](https://arxiv.org/abs/1712.05884) - Glow-TTS: [paper](https://arxiv.org/abs/2005.11129) +- Speedy-Speech: [paper](https://arxiv.org/abs/2008.03802) ### Attention Methods - Guided Attention: [paper](https://arxiv.org/abs/1710.08969) @@ -75,6 +76,7 @@ Please use our dedicated channels for questions and discussion. Help is much mor ### Speaker Encoder - GE2E: [paper](https://arxiv.org/abs/1710.10467) +- Angular Loss: [paper](https://arxiv.org/pdf/2003.11982.pdf) ### Vocoders - MelGAN: [paper](https://arxiv.org/abs/1710.10467) From 428c224b8894edb75eff74f3daaf9a9e51a6dd83 Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 12 Jan 2021 17:31:04 +0100 Subject: [PATCH 106/108] commet update --- TTS/tts/models/glow_tts.py | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/TTS/tts/models/glow_tts.py b/TTS/tts/models/glow_tts.py index af5979dd..b55ba1b1 100644 --- a/TTS/tts/models/glow_tts.py +++ b/TTS/tts/models/glow_tts.py @@ -131,12 +131,12 @@ class GlowTts(nn.Module): def forward(self, x, x_lengths, y=None, y_lengths=None, attn=None, g=None): """ - Shapes: - x: B x T - x_lenghts: B - y: B x C x T - y_lengths: B - g: B x C or B + Shapes: + x: [B, T] + x_lenghts: B + y: [B, C, T] + y_lengths: B + g: [B, C] or B """ y_max_length = y.size(2) # norm speaker embeddings @@ -180,7 +180,6 @@ class GlowTts(nn.Module): @torch.no_grad() def inference(self, x, x_lengths, g=None): - if g is not None: if self.external_speaker_embedding_dim: g = F.normalize(g).unsqueeze(-1) From 0a9767afd75785abb402b4cadb147b6152d7942d Mon Sep 17 00:00:00 2001 From: erogol Date: Tue, 12 Jan 2021 17:32:36 +0100 Subject: [PATCH 107/108] remove travis.yml --- .travis.yml | 32 -------------------------------- 1 file changed, 32 deletions(-) delete mode 100644 .travis.yml diff --git a/.travis.yml b/.travis.yml deleted file mode 100644 index 28500a81..00000000 --- a/.travis.yml +++ /dev/null @@ -1,32 +0,0 @@ -language: python - -git: - quiet: true - -before_install: - - sudo apt-get update - - sudo apt-get -y install espeak - - python -m pip install --upgrade pip - - pip install six==1.12.0 - - pip install --upgrade cython - -matrix: - include: - - name: "Lint check" - python: "3.6" - install: pip install --quiet --upgrade cardboardlint pylint - env: TEST_SUITE="lint" - - name: "Unit tests" - python: "3.6" - install: - - python setup.py egg_info - - pip install -e . - env: TEST_SUITE="unittest" - - name: "Unit tests" - python: "3.6" - install: - - python setup.py egg_info - - pip install -e . - env: TEST_SUITE="testscripts" - -script: ./.travis/script From 7beaacc55bc1e57c7d56c3d6837a3072dbd19462 Mon Sep 17 00:00:00 2001 From: root Date: Wed, 13 Jan 2021 10:03:57 +0000 Subject: [PATCH 108/108] update compute_attention_masks.py --- TTS/bin/compute_attention_masks.py | 57 ++++++++++++++---------------- 1 file changed, 27 insertions(+), 30 deletions(-) diff --git a/TTS/bin/compute_attention_masks.py b/TTS/bin/compute_attention_masks.py index 4d5b426b..fc02144a 100644 --- a/TTS/bin/compute_attention_masks.py +++ b/TTS/bin/compute_attention_masks.py @@ -1,17 +1,3 @@ -"""Compute attention masks from pre-trained Tacotron or Tacotron2 models. -Sample run on LJSpeech dataset. - - >>>> CUDA_VISIBLE_DEVICES="0" python TTS/bin/compute_attention_masks.py \ - --model_path /home/erogol/Cluster/ljspeech-dcattn-December-14-2020_11+10AM-9d0e8c7/checkpoint_100000.pth.tar \ - --config_path /home/erogol/Cluster/ljspeech-dcattn-December-14-2020_11+10AM-9d0e8c7/config.json --dataset ljspeech \ - --dataset_metafile /home/erogol/Data/LJSpeech-1.1/metadata.csv \ - --data_path /home/erogol/Data/LJSpeech-1.1/ \ - --batch_size 16 \ - --use_cuda true - -""" - - import argparse import importlib import os @@ -20,6 +6,7 @@ import numpy as np import torch from torch.utils.data import DataLoader from tqdm import tqdm +from argparse import RawTextHelpFormatter from TTS.tts.datasets.TTSDataset import MyDataset from TTS.tts.utils.generic_utils import setup_model from TTS.tts.utils.io import load_checkpoint @@ -30,40 +17,52 @@ from TTS.utils.io import load_config if __name__ == '__main__': parser = argparse.ArgumentParser( - description='Extract attention masks from trained Tacotron models.') + description='''Extract attention masks from trained Tacotron/Tacotron2 models. +These masks can be used for different purposes including training a TTS model with a Duration Predictor.\n\n''' + +'''Each attention mask is written to the same path as the input wav file with ".npy" file extension. +(e.g. path/bla.wav (wav file) --> path/bla.npy (attention mask))\n''' + +''' +Example run: + CUDA_VISIBLE_DEVICE="0" python TTS/bin/compute_attention_masks.py + --model_path /data/rw/home/Models/ljspeech-dcattn-December-14-2020_11+10AM-9d0e8c7/checkpoint_200000.pth.tar + --config_path /data/rw/home/Models/ljspeech-dcattn-December-14-2020_11+10AM-9d0e8c7/config.json + --dataset_metafile /root/LJSpeech-1.1/metadata.csv + --data_path /root/LJSpeech-1.1/ + --batch_size 32 + --dataset ljspeech + --use_cuda True +''', + formatter_class=RawTextHelpFormatter + ) parser.add_argument('--model_path', type=str, - help='Path to Tacotron or Tacotron2 model file ') + required=True, + help='Path to Tacotron/Tacotron2 model file ') parser.add_argument( '--config_path', type=str, required=True, - help='Path to config file for training.', + help='Path to Tacotron/Tacotron2 config file.', ) parser.add_argument('--dataset', type=str, default='', - help='Dataset from TTS.tts.dataset.preprocess.') + required=True, + help='Target dataset processor name from TTS.tts.dataset.preprocess.') parser.add_argument( '--dataset_metafile', type=str, default='', + required=True, help='Dataset metafile inclusing file paths with transcripts.') parser.add_argument( '--data_path', type=str, default='', help='Defines the data path. It overwrites config.json.') - parser.add_argument('--output_path', - type=str, - help='path for training outputs.', - default='') - parser.add_argument('--output_folder', - type=str, - default='', - help='folder name for training outputs.') - parser.add_argument('--use_cuda', type=bool, default=False, @@ -148,10 +147,8 @@ if __name__ == '__main__': mode='nearest', align_corners=None, recompute_scale_factor=None).squeeze(0).transpose(0, 1) - # remove paddings alignment = alignment[:mel_lengths[idx], :text_lengths[idx]].cpu().numpy() - # set file paths wav_file_name = os.path.basename(item_idx) align_file_name = os.path.splitext(wav_file_name)[0] + '.npy' @@ -160,7 +157,7 @@ if __name__ == '__main__': file_paths.append([item_idx, file_path]) np.save(file_path, alignment) - # ourpur metafile + # ourput metafile metafile = os.path.join(args.data_path, "metadata_attn_mask.txt") with open(metafile, "w") as f: