Python hparams.hparams.ref_level_db() Examples

The following are 30 code examples of hparams.hparams.ref_level_db(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module hparams.hparams , or try the search function .
Example #1
Source File: stft.py    From cnn_vocoder with MIT License 6 votes vote down vote up 
def forward(self, x):
        if self.preemp is not None:
            x = x.unsqueeze(1)
            x = self.preemp(x)
            x = x.squeeze(1)
        stft = torch.stft(x,
                          self.win_length,
                          self.hop_length,
                          fft_size=self.n_fft,
                          window=self.win)
        real = stft[:, :, :, 0]
        im = stft[:, :, :, 1]
        spec = torch.sqrt(torch.pow(real, 2) + torch.pow(im, 2))

        # convert linear spec to mel
        mel = torch.matmul(spec, self.mel_basis)
        # convert to db
        mel = _amp_to_db(mel) - hparams.ref_level_db
        return _normalize(mel)
Example #2
Source File: audio.py    From gmvae_tacotron with MIT License 5 votes vote down vote up 
def inv_mel_spectrogram(mel_spectrogram):
	'''Converts mel spectrogram to waveform using librosa'''
	if hparams.signal_normalization:
		D = _denormalize(mel_spectrogram)
	else:
		D = mel_spectrogram

	S = _mel_to_linear(_db_to_amp(D + hparams.ref_level_db))  # Convert back to linear

	return _griffin_lim(S ** hparams.power)
Example #3
Source File: audio.py    From tacotron with MIT License 5 votes vote down vote up 
def inv_spectrogram(spectrogram):
  '''Converts spectrogram to waveform using librosa'''
  S = _db_to_amp(_denormalize(spectrogram) + hparams.ref_level_db)  # Convert back to linear
  return inv_preemphasis(_griffin_lim(S ** hparams.power))          # Reconstruct phase
Example #4
Source File: audio.py    From tacotron with MIT License 5 votes vote down vote up 
def inv_spectrogram_tensorflow(spectrogram):
  '''Builds computational graph to convert spectrogram to waveform using TensorFlow.

  Unlike inv_spectrogram, this does NOT invert the preemphasis. The caller should call
  inv_preemphasis on the output after running the graph.
  '''
  S = _db_to_amp_tensorflow(_denormalize_tensorflow(spectrogram) + hparams.ref_level_db)
  return _griffin_lim_tensorflow(tf.pow(S, hparams.power))
Example #5
Source File: audio.py    From tacotron with MIT License 5 votes vote down vote up 
def melspectrogram(y):
  D = _stft(preemphasis(y))
  S = _amp_to_db(_linear_to_mel(np.abs(D))) - hparams.ref_level_db
  return _normalize(S)
Example #6
Source File: audio.py    From WaveRNN-Pytorch with MIT License 5 votes vote down vote up 
def spectrogram(y):
    D = _lws_processor().stft(preemphasis(y)).T
    S = _amp_to_db(np.abs(D)) - hparams.ref_level_db
    return _normalize(S)
Example #7
Source File: audio.py    From WaveRNN-Pytorch with MIT License 5 votes vote down vote up 
def inv_spectrogram(spectrogram):
    '''Converts spectrogram to waveform using librosa'''
    S = _db_to_amp(_denormalize(spectrogram) + hparams.ref_level_db)  # Convert back to linear
    processor = _lws_processor()
    D = processor.run_lws(S.astype(np.float64).T ** hparams.power)
    y = processor.istft(D).astype(np.float32)
    return inv_preemphasis(y)
Example #8
Source File: audio.py    From WaveRNN-Pytorch with MIT License 5 votes vote down vote up 
def melspectrogram(y):
    D = _lws_processor().stft(preemphasis(y)).T
    S = _amp_to_db(_linear_to_mel(np.abs(D))) - hparams.ref_level_db
    if not hparams.allow_clipping_in_normalization:
        assert S.max() <= 0 and S.min() - hparams.min_level_db >= 0
    return _normalize(S)
Example #9
Source File: audio.py    From gmvae_tacotron with MIT License 5 votes vote down vote up 
def linearspectrogram(wav):
	D = _stft(wav)
	S = _amp_to_db(np.abs(D)) - hparams.ref_level_db

	if hparams.signal_normalization:
		return _normalize(S)
	return S
Example #10
Source File: audio.py    From gmvae_tacotron with MIT License 5 votes vote down vote up 
def melspectrogram(wav):
	D = _stft(wav)
	S = _amp_to_db(_linear_to_mel(np.abs(D))) - hparams.ref_level_db

	if hparams.signal_normalization:
		return _normalize(S)
	return S
Example #11
Source File: audio.py    From gmvae_tacotron with MIT License 5 votes vote down vote up 
def inv_linear_spectrogram(linear_spectrogram):
	'''Converts linear spectrogram to waveform using librosa'''
	if hparams.signal_normalization:
		D = _denormalize(linear_spectrogram)
	else:
		D = linear_spectrogram

	S = _db_to_amp(D + hparams.ref_level_db) #Convert back to linear

	return _griffin_lim(S ** hparams.power)
Example #12
Source File: audio.py    From tacotron with MIT License 5 votes vote down vote up 
def spectrogram(y):
  D = _stft(preemphasis(y))
  S = _amp_to_db(np.abs(D)) - hparams.ref_level_db
  return _normalize(S)
Example #13
Source File: audio.py    From gmvae_tacotron with MIT License 5 votes vote down vote up 
def melspectrogram(wav):
	D = _stft(wav)
	S = _amp_to_db(_linear_to_mel(np.abs(D))) - hparams.ref_level_db

	if hparams.mel_normalization:
		return _normalize(S)
	return S
Example #14
Source File: audio.py    From Tacotron2-PyTorch with MIT License 5 votes vote down vote up 
def spectrogram(y):
	D = _stft(preemphasis(y))
	S = _amp_to_db(np.abs(D)) - hps.ref_level_db
	return _normalize(S)
Example #15
Source File: audio.py    From Tacotron2-PyTorch with MIT License 5 votes vote down vote up 
def inv_spectrogram(spectrogram):
	'''Converts spectrogram to waveform using librosa'''
	S = _db_to_amp(_denormalize(spectrogram) + hps.ref_level_db)	# Convert back to linear
	return inv_preemphasis(_griffin_lim(S ** hps.power))			# Reconstruct phase
Example #16
Source File: audio.py    From Tacotron2-PyTorch with MIT License 5 votes vote down vote up 
def melspectrogram(y):
	D = _stft(preemphasis(y))
	S = _amp_to_db(_linear_to_mel(np.abs(D))) - hps.ref_level_db
	return _normalize(S)
Example #17
Source File: audio.py    From Tacotron2-PyTorch with MIT License 5 votes vote down vote up 
def inv_melspectrogram(spectrogram):
	mel = _db_to_amp(_denormalize(spectrogram) + hps.ref_level_db)
	S = _mel_to_linear(mel)
	return inv_preemphasis(_griffin_lim(S ** hps.power))
Example #18
Source File: audio.py    From representation_mixing with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def melspectrogram(y):
    D = _lws_processor().stft(y).T
    S = _amp_to_db(_linear_to_mel(np.abs(D))) - hparams.ref_level_db
    if not hparams.allow_clipping_in_normalization:
        assert S.max() <= 0 and S.min() - hparams.min_level_db >= 0
    return _normalize(S)
Example #19
Source File: audio.py    From representation_mixing with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def melspectrogram(y):
    D = _lws_processor().stft(y).T
    S = _amp_to_db(_linear_to_mel(np.abs(D))) - hparams.ref_level_db
    if not hparams.allow_clipping_in_normalization:
        assert S.max() <= 0 and S.min() - hparams.min_level_db >= 0
    return _normalize(S)
Example #20
Source File: audio.py    From representation_mixing with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def melspectrogram(y):
    D = _lws_processor().stft(y).T
    S = _amp_to_db(_linear_to_mel(np.abs(D))) - hparams.ref_level_db
    if not hparams.allow_clipping_in_normalization:
        assert S.max() <= 0 and S.min() - hparams.min_level_db >= 0
    return _normalize(S)
Example #21
Source File: audio.py    From representation_mixing with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def melspectrogram(y):
    D = _lws_processor().stft(y).T
    S = _amp_to_db(_linear_to_mel(np.abs(D))) - hparams.ref_level_db
    if not hparams.allow_clipping_in_normalization:
        assert S.max() <= 0 and S.min() - hparams.min_level_db >= 0
    return _normalize(S)
Example #22
Source File: audio.py    From vae_tacotron2 with MIT License 5 votes vote down vote up 
def inv_mel_spectrogram(mel_spectrogram):
	'''Converts mel spectrogram to waveform using librosa'''
	if hparams.signal_normalization:
		D = _denormalize(mel_spectrogram)
	else:
		D = mel_spectrogram

	S = _mel_to_linear(_db_to_amp(D + hparams.ref_level_db))  # Convert back to linear

	return _griffin_lim(S ** hparams.power)
Example #23
Source File: audio.py    From Griffin_lim with MIT License 5 votes vote down vote up 
def inv_spectrogram(spectrogram):
    S = _db_to_amp(_denormalize(spectrogram) + hparams.ref_level_db)  # Convert back to linear
    return _inv_preemphasis(_griffin_lim(S ** hparams.power))  # Reconstruct phase
Example #24
Source File: griffin_lim.py    From Griffin_lim with MIT License 5 votes vote down vote up 
def inv_spectrogram(spectrogram):
    S = _db_to_amp(_denormalize(spectrogram) + hparams.ref_level_db)  # Convert back to linear
    return _inv_preemphasis(spectrogram2wav(S ** hparams.power))  # Reconstruct phase
Example #25
Source File: audio.py    From vae_tacotron with MIT License 5 votes vote down vote up 
def spectrogram(y):
  D = _stft(preemphasis(y))
  S = _amp_to_db(np.abs(D)) - hparams.ref_level_db
  return _normalize(S)
Example #26
Source File: audio.py    From vae_tacotron with MIT License 5 votes vote down vote up 
def inv_spectrogram(spectrogram):
  '''Converts spectrogram to waveform using librosa'''
  S = _db_to_amp(_denormalize(spectrogram) + hparams.ref_level_db)  # Convert back to linear
  return inv_preemphasis(_griffin_lim(S ** hparams.power))          # Reconstruct phase
Example #27
Source File: audio.py    From vae_tacotron with MIT License 5 votes vote down vote up 
def inv_spectrogram_tensorflow(spectrogram):
  '''Builds computational graph to convert spectrogram to waveform using TensorFlow.

  Unlike inv_spectrogram, this does NOT invert the preemphasis. The caller should call
  inv_preemphasis on the output after running the graph.
  '''
  S = _db_to_amp_tensorflow(_denormalize_tensorflow(spectrogram) + hparams.ref_level_db)
  return _griffin_lim_tensorflow(tf.pow(S, hparams.power))
Example #28
Source File: audio.py    From vae_tacotron with MIT License 5 votes vote down vote up 
def melspectrogram(y):
  D = _stft(preemphasis(y))
  S = _amp_to_db(_linear_to_mel(np.abs(D))) - hparams.ref_level_db
  return _normalize(S)
Example #29
Source File: audio.py    From vae_tacotron2 with MIT License 5 votes vote down vote up 
def linearspectrogram(wav):
	D = _stft(wav)
	S = _amp_to_db(np.abs(D)) - hparams.ref_level_db

	if hparams.signal_normalization:
		return _normalize(S)
	return S
Example #30
Source File: audio.py    From vae_tacotron2 with MIT License 5 votes vote down vote up 
def melspectrogram(wav):
	D = _stft(wav)
	S = _amp_to_db(_linear_to_mel(np.abs(D))) - hparams.ref_level_db

	if hparams.signal_normalization:
		return _normalize(S)
	return S