Format style of the recipes

TTS/tts/utils/measures.py

@@ -7,7 +7,7 @@ def alignment_diagonal_score(alignments, binary=False):
         binary (bool): if True, ignore scores and consider attention
         as a binary mask.
     Shape:
-        alignments : batch x decoder_steps x encoder_steps
+        - alignments : :math:`[B, T_de, T_en]`
     """
     maxs = alignments.max(dim=1)[0]
     if binary:

TTS/utils/audio.py

@@ -693,7 +693,6 @@ class AudioProcessor(object):
         # # plt.figure()
         # plt.imshow(spec, aspect="auto", origin="lower")
         # plt.savefig('save_img2.png')
-        # breakpoint()
         return f0
 
     ### Audio Processing ###

recipes/ljspeech/fast_pitch/train_fast_pitch.py

@@ -8,7 +8,12 @@ from TTS.utils.manage import ModelManager
 output_path = os.path.dirname(os.path.abspath(__file__))
 
 # init configs
-dataset_config = BaseDatasetConfig(name="ljspeech", meta_file_train="metadata.csv",  meta_file_attn_mask=os.path.join(output_path, "../LJSpeech-1.1/metadata_attn_mask.txt"), path=os.path.join(output_path, "../LJSpeech-1.1/"))
+dataset_config = BaseDatasetConfig(
+    name="ljspeech",
+    meta_file_train="metadata.csv",
+    meta_file_attn_mask=os.path.join(output_path, "../LJSpeech-1.1/metadata_attn_mask.txt"),
+    path=os.path.join(output_path, "../LJSpeech-1.1/"),
+)
 audio_config = BaseAudioConfig(
     sample_rate=22050,
     do_trim_silence=False,