Medix-AI/coqui-tts
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coqui-tts
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Fix dirt

This commit is contained in:
Eren G??lge 2022-05-17 13:34:38 +02:00
parent a05c82f9ef
commit c437db15fd
2 changed files with 1 additions and 5 deletions
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2
TTS/encoder/utils/generic_utils.py
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@ -9,7 +9,7 @@ from scipy import signal
from TTS.encoder.models.lstm import LSTMSpeakerEncoder from TTS.encoder.models.lstm import LSTMSpeakerEncoder
from TTS.encoder.models.resnet import ResNetSpeakerEncoder from TTS.encoder.models.resnet import ResNetSpeakerEncoder
from TTS.utils.io import save_fsspec from trainer.io import save_fsspec
class AugmentWAV(object): class AugmentWAV(object):

4
TTS/tts/datasets/__init__.py
View File

@ -13,7 +13,6 @@ def split_dataset(items, eval_split_max_size=None, eval_split_size=0.01):
"""Split a dataset into train and eval. Consider speaker distribution in multi-speaker training. """Split a dataset into train and eval. Consider speaker distribution in multi-speaker training.
Args: Args:
<<<<<<< HEAD
items (List[List]): items (List[List]):
A list of samples. Each sample is a list of `[audio_path, text, speaker_id]`. A list of samples. Each sample is a list of `[audio_path, text, speaker_id]`.
@ -23,9 +22,6 @@ def split_dataset(items, eval_split_max_size=None, eval_split_size=0.01):
eval_split_size (float): eval_split_size (float):
If between 0.0 and 1.0 represents the proportion of the dataset to include in the evaluation set. If between 0.0 and 1.0 represents the proportion of the dataset to include in the evaluation set.
If > 1, represents the absolute number of evaluation samples. Defaults to 0.01 (1%). If > 1, represents the absolute number of evaluation samples. Defaults to 0.01 (1%).
=======
items (List[List]): A list of samples. Each sample is a list of `[text, audio_path, speaker_id]`.
>>>>>>> Fix docstring
""" """
speakers = [item["speaker_name"] for item in items] speakers = [item["speaker_name"] for item in items]
is_multi_speaker = len(set(speakers)) > 1 is_multi_speaker = len(set(speakers)) > 1