Medix-AI/coqui-tts
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coqui-tts
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Add mfcc to BaseAudioConfig

This commit is contained in:
Eren Gölge 2021-09-30 14:42:26 +00:00
parent aee483f0a9
commit e033b3d7bb
1 changed files with 5 additions and 1 deletions
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6
TTS/config/shared_configs.py
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@ -70,6 +70,9 @@ class BaseAudioConfig(Coqpit):
num_mels (int): num_mels (int):
Number of mel-basis frames that defines the frame lengths of each mel-spectrogram frame. Defaults to 80. Number of mel-basis frames that defines the frame lengths of each mel-spectrogram frame. Defaults to 80.
num_mfcc (int):
Number of MFCC values. Defaults to 80.
mel_fmin (float): Min frequency level used for the mel-basis filters. ~50 for male and ~95 for female voices. mel_fmin (float): Min frequency level used for the mel-basis filters. ~50 for male and ~95 for female voices.
It needs to be adjusted for a dataset. Defaults to 0. It needs to be adjusted for a dataset. Defaults to 0.
@ -126,6 +129,7 @@ class BaseAudioConfig(Coqpit):
spec_gain: int = 20 spec_gain: int = 20
do_amp_to_db_linear: bool = True do_amp_to_db_linear: bool = True
do_amp_to_db_mel: bool = True do_amp_to_db_mel: bool = True
num_mfcc: int = 80
# normalization params # normalization params
signal_norm: bool = True signal_norm: bool = True
min_level_db: int = -100 min_level_db: int = -100
@ -259,7 +263,7 @@ class BaseTrainingConfig(Coqpit):
print_step (int): print_step (int):
Number of steps required to print the next training log. Number of steps required to print the next training log.
log_dashboard (str): "tensorboard" or "wandb" dashboard_logger (str): "tensorboard" or "wandb"
Set the experiment tracking tool Set the experiment tracking tool
plot_step (int): plot_step (int):