Python源码示例：hparams.hparams.power()
示例1
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
示例2
def _db_to_amp(x):
return np.power(10.0, x * 0.05)
示例3
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
示例4
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
示例5
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))
示例6
def _db_to_amp(x):
return np.power(10.0, x * 0.05)
示例7
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)
示例8
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)
示例9
def _db_to_amp(x):
return np.power(10.0, (x) * 0.05)
示例10
def inv_mel_spectrogram(mel_spectrogram):
'''Converts mel spectrogram to waveform using librosa'''
if hparams.mel_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)
示例11
def _db_to_amp(x):
return np.power(10.0, (x) * 0.05)
示例12
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
示例13
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))
示例14
def _db_to_amp(x):
return np.power(10.0, x * 0.05)
示例15
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
示例16
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))
示例17
def _db_to_amp(x):
return np.power(10.0, x * 0.05)
示例18
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)
示例19
def _db_to_amp(x):
return np.power(10.0, x * 0.05)
示例20
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)
示例21
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)
示例22
def _db_to_amp(x):
return np.power(10.0, (x) * 0.05)
示例23
def inv_mel_spectrogram(mel_spectrogram):
'''Converts mel spectrogram to waveform using librosa'''
if hparams.mel_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)
示例24
def _db_to_amp(x):
return np.power(10.0, (x) * 0.05)
示例25
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
示例26
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))
示例27
def _db_to_amp(x):
return np.power(10.0, x * 0.05)
