Medix-AI/coqui-tts
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update mulaw decoder

This commit is contained in:
Eren Golge 2019-06-06 11:13:26 +02:00
parent f096f1052f
commit 127a6b68e0
1 changed files with 15 additions and 18 deletions
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33
utils/audio.py
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@ -218,25 +218,22 @@ class AudioProcessor(object):
return librosa.effects.trim( return librosa.effects.trim(
wav, top_db=40, frame_length=1024, hop_length=256)[0] wav, top_db=40, frame_length=1024, hop_length=256)[0]
# WaveRNN repo specific functions @staticmethod
# def mulaw_encode(self, wav, qc): def mulaw_encode(wav, qc):
# mu = qc - 1 mu = 2 ** qc - 1
# wav_abs = np.minimum(np.abs(wav), 1.0) # wav_abs = np.minimum(np.abs(wav), 1.0)
# magnitude = np.log(1 + mu * wav_abs) / np.log(1. + mu) signal = np.sign(wav) * np.log(1 + mu * np.abs(wav)) / np.log(1. + mu)
# signal = np.sign(wav) * magnitude # Quantize signal to the specified number of levels.
# # Quantize signal to the specified number of levels. signal = (signal + 1) / 2 * mu + 0.5
# signal = (signal + 1) / 2 * mu + 0.5 return np.floor(signal,)
# return signal.astype(np.int32)
# def mulaw_decode(self, wav, qc): @staticmethod
# """Recovers waveform from quantized values.""" def mulaw_decode(wav, qc):
# mu = qc - 1 """Recovers waveform from quantized values."""
# # Map values back to [-1, 1]. mu = 2 ** qc - 1
# casted = wav.astype(np.float32) mu = mu - 1
# signal = 2 * (casted / mu) - 1 signal = np.sign(wav) / mu * ((1 + mu) ** np.abs(wav) - 1)
# # Perform inverse of mu-law transformation. return signal
# magnitude = (1 / mu) * ((1 + mu) ** abs(signal) - 1)
# return np.sign(signal) * magnitude
def load_wav(self, filename, encode=False): def load_wav(self, filename, encode=False):
x, sr = sf.read(filename) x, sr = sf.read(filename)