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refactor(audio.processor): use volume_norm from numpy_transforms

This commit is contained in:
Enno Hermann 2023-11-14 13:40:56 +01:00
parent 0a0e7a3bae
commit 9a43eafd60
1 changed files with 2 additions and 1 deletions
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3
TTS/utils/audio/processor.py
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@ -23,6 +23,7 @@ from TTS.utils.audio.numpy_transforms import (
spec_to_mel, spec_to_mel,
stft, stft,
trim_silence, trim_silence,
volume_norm,
) )
# pylint: disable=too-many-public-methods # pylint: disable=too-many-public-methods
@ -558,7 +559,7 @@ class AudioProcessor(object):
Returns: Returns:
np.ndarray: Volume normalized waveform. np.ndarray: Volume normalized waveform.
""" """
return x / abs(x).max() * 0.95 return volume_norm(x=x)
def rms_volume_norm(self, x: np.ndarray, db_level: float = None) -> np.ndarray: def rms_volume_norm(self, x: np.ndarray, db_level: float = None) -> np.ndarray:
"""Normalize the volume based on RMS of the signal. """Normalize the volume based on RMS of the signal.