GenerSpeech / vocoders /vocoder_utils.py
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import librosa
from utils.hparams import hparams
import numpy as np
def denoise(wav, v=0.1):
spec = librosa.stft(y=wav, n_fft=hparams['fft_size'], hop_length=hparams['hop_size'],
win_length=hparams['win_size'], pad_mode='constant')
spec_m = np.abs(spec)
spec_m = np.clip(spec_m - v, a_min=0, a_max=None)
spec_a = np.angle(spec)
return librosa.istft(spec_m * np.exp(1j * spec_a), hop_length=hparams['hop_size'],
win_length=hparams['win_size'])