mirror of https://github.com/coqui-ai/TTS.git
audio_lws update, suppress warnings
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parent
ed56dd68f2
commit
3238ffa3e6
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@ -13,6 +13,7 @@ class AudioProcessor(object):
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def __init__(self, sample_rate, num_mels, min_level_db, frame_shift_ms,
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def __init__(self, sample_rate, num_mels, min_level_db, frame_shift_ms,
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frame_length_ms, ref_level_db, num_freq, power, preemphasis,
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frame_length_ms, ref_level_db, num_freq, power, preemphasis,
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min_mel_freq, max_mel_freq, griffin_lim_iters=None, ):
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min_mel_freq, max_mel_freq, griffin_lim_iters=None, ):
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print(" > Setting up Audio Processor...")
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self.sample_rate = sample_rate
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self.sample_rate = sample_rate
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self.num_mels = num_mels
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self.num_mels = num_mels
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self.min_level_db = min_level_db
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self.min_level_db = min_level_db
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@ -25,8 +26,7 @@ class AudioProcessor(object):
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self.max_mel_freq = max_mel_freq
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self.max_mel_freq = max_mel_freq
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self.griffin_lim_iters = griffin_lim_iters
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self.griffin_lim_iters = griffin_lim_iters
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self.preemphasis =preemphasis
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self.preemphasis =preemphasis
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_, self.hop_length, self.win_length = self._stft_parameters()
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self.n_fft, self.hop_length, self.win_length = self._stft_parameters()
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self.num_freq = (self.win_length // 2) + 1
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if preemphasis == 0:
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if preemphasis == 0:
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print(" | > Preemphasis is deactive.")
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print(" | > Preemphasis is deactive.")
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@ -35,14 +35,21 @@ class AudioProcessor(object):
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librosa.output.write_wav(path, wav.astype(np.float), self.sample_rate, norm=True)
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librosa.output.write_wav(path, wav.astype(np.float), self.sample_rate, norm=True)
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def _stft_parameters(self, ):
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def _stft_parameters(self, ):
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n_fft = (self.num_freq - 1) * 2
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n_fft = int((self.num_freq - 1) * 2)
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hop_length = int(self.frame_shift_ms / 1000.0 * self.sample_rate)
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hop_length = int(self.frame_shift_ms / 1000.0 * self.sample_rate)
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win_length = int(self.frame_length_ms / 1000.0 * self.sample_rate)
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win_length = int(self.frame_length_ms / 1000.0 * self.sample_rate)
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return n_fft, hop_length, win_length
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if n_fft % hop_length != 0:
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hop_length = n_fft / 8
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print(" | > hop_length is set to default ({}).".format(hop_length))
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if n_fft % win_length != 0:
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win_length = n_fft / 2
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print(" | > win_length is set to default ({}).".format(win_length))
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print(" | > fft size: {}, hop length: {}, win length: {}".format(n_fft, hop_length, win_length))
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return int(n_fft), int(hop_length), int(win_length)
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def _lws_processor(self):
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def _lws_processor(self):
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try:
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try:
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return lws.lws(self.win_length, self.hop_length ,mode="speech")
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return lws.lws(self.win_length, self.hop_length, fftsize=self.n_fft, mode="speech")
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except:
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except:
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raise RuntimeError(" !! WindowLength({}) is not multiple of HopLength({}).".format(self.win_length, self.hop_length))
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raise RuntimeError(" !! WindowLength({}) is not multiple of HopLength({}).".format(self.win_length, self.hop_length))
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@ -70,15 +77,22 @@ class AudioProcessor(object):
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return signal.lfilter([1], [1, -self.preemphasis], x)
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return signal.lfilter([1], [1, -self.preemphasis], x)
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def spectrogram(self, y):
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def spectrogram(self, y):
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f = open(os.devnull, 'w')
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old_out = sys.stdout
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sys.stdout = f
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if self.preemphasis:
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if self.preemphasis:
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D = self._lws_processor().stft(self.apply_preemphasis(y)).T
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D = self._lws_processor().stft(self.apply_preemphasis(y)).T
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else:
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else:
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D = self._lws_processor().stft(y).T
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D = self._lws_processor().stft(y).T
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S = self._amp_to_db(np.abs(D)) - self.ref_level_db
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S = self._amp_to_db(np.abs(D)) - self.ref_level_db
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sys.stdout = old_out
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return self._normalize(S)
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return self._normalize(S)
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def inv_spectrogram(self, spectrogram):
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def inv_spectrogram(self, spectrogram):
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'''Converts spectrogram to waveform using librosa'''
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'''Converts spectrogram to waveform using librosa'''
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f = open(os.devnull, 'w')
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old_out = sys.stdout
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sys.stdout = f
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S = self._denormalize(spectrogram)
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S = self._denormalize(spectrogram)
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S = self._db_to_amp(S + self.ref_level_db) # Convert back to linear
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S = self._db_to_amp(S + self.ref_level_db) # Convert back to linear
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processor = self._lws_processor()
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processor = self._lws_processor()
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@ -87,6 +101,7 @@ class AudioProcessor(object):
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# Reconstruct phase
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# Reconstruct phase
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if self.preemphasis:
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if self.preemphasis:
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return self.apply_inv_preemphasis(y)
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return self.apply_inv_preemphasis(y)
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sys.stdout = old_out
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return y
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return y
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def _linear_to_mel(self, spectrogram):
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def _linear_to_mel(self, spectrogram):
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@ -96,13 +111,17 @@ class AudioProcessor(object):
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return np.dot(_mel_basis, spectrogram)
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return np.dot(_mel_basis, spectrogram)
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def _build_mel_basis(self, ):
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def _build_mel_basis(self, ):
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return librosa.filters.mel(self.sample_rate, self.win_length, n_mels=self.num_mels)
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return librosa.filters.mel(self.sample_rate, self.n_fft, n_mels=self.num_mels)
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# fmin=self.min_mel_freq, fmax=self.max_mel_freq)
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# fmin=self.min_mel_freq, fmax=self.max_mel_freq)
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def melspectrogram(self, y):
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def melspectrogram(self, y):
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f = open(os.devnull, 'w')
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old_out = sys.stdout
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sys.stdout = f
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if self.preemphasis:
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if self.preemphasis:
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D = self._lws_processor().stft(self.apply_preemphasis(y)).T
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D = self._lws_processor().stft(self.apply_preemphasis(y)).T
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else:
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else:
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D = self._lws_processor().stft(y).T
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D = self._lws_processor().stft(y).T
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S = self._amp_to_db(self._linear_to_mel(np.abs(D))) - self.ref_level_db
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S = self._amp_to_db(self._linear_to_mel(np.abs(D))) - self.ref_level_db
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sys.stdout = old_out
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return self._normalize(S)
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return self._normalize(S)
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