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https://github.com/wassname/TTS.git
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test case
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-1
@@ -1,8 +1,8 @@
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import argparse
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import glob
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import os
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import shutil
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import librosa
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from distutils.dir_util import copy_tree
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from argparse import RawTextHelpFormatter
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from multiprocessing import Pool
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from tqdm import tqdm
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Executable
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@@ -0,0 +1,16 @@
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#!/usr/bin/env bash
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set -xe
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BASEDIR=$(dirname "$0")
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TARGET_SR=16000
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echo "$BASEDIR"
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#run the resample script
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python TTS/bin/resample.py --input_dir $BASEDIR/data/ljspeech --output_dir $BASEDIR/outputs/resample_tests --output_sr $TARGET_SR
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#check samplerate of output
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OUT_SR=$( (echo "import librosa" ; echo "y, sr = librosa.load('"$BASEDIR"/outputs/resample_tests/wavs/LJ001-0012.wav', sr=None)" ; echo "print(sr)") | python )
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OUT_SR=$(($OUT_SR + 0))
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if [[ $OUT_SR -ne $TARGET_SR ]]; then
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echo "Missmatch between target and output sample rates"
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exit 1
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fi
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#cleaning up
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rm -rf $BASEDIR/outputs/resample_tests
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@@ -4,7 +4,7 @@ import torch
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import soundfile as sf
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from librosa.core import load
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from tests import get_tests_path, get_tests_input_path
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from tests import get_tests_path, get_tests_input_path, get_tests_output_path
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from TTS.vocoder.layers.pqmf import PQMF
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@@ -24,4 +24,4 @@ def test_pqmf():
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print(w2_.max())
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print(w2_.min())
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print(w2_.mean())
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sf.write('pqmf_output.wav', w2_.flatten().detach(), sr)
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sf.write(os.path.join(get_tests_output_path(),'pqmf_output.wav'), w2_.flatten().detach(), sr)
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@@ -4,7 +4,7 @@ import tensorflow as tf
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import soundfile as sf
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from librosa.core import load
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from tests import get_tests_path, get_tests_input_path
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from tests import get_tests_path, get_tests_input_path, get_tests_output_path
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from TTS.vocoder.tf.layers.pqmf import PQMF
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@@ -25,4 +25,4 @@ def test_pqmf():
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print(w2_.max())
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print(w2_.min())
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print(w2_.mean())
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sf.write('tf_pqmf_output.wav', w2_.flatten(), sr)
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sf.write(os.path.join(get_tests_output_path(),'tf_pqmf_output.wav'), w2_.flatten(), sr)
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