Apply pre-emphasis again and disable min-max mel_freqs

pull/10/head
Eren G 2018-07-23 16:15:51 +02:00
parent c72f309068
commit b83d125e52
1 changed files with 13 additions and 13 deletions

View File

@ -37,8 +37,8 @@ class AudioProcessor(object):
def _build_mel_basis(self, ):
n_fft = (self.num_freq - 1) * 2
return librosa.filters.mel(self.sample_rate, n_fft, n_mels=self.num_mels,
fmin=self.min_mel_freq, fmax=self.max_mel_freq)
return librosa.filters.mel(self.sample_rate, n_fft, n_mels=self.num_mels)
# fmin=self.min_mel_freq, fmax=self.max_mel_freq)
def _normalize(self, S):
return np.clip((S - self.min_level_db) / -self.min_level_db, 0, 1)
@ -54,20 +54,20 @@ class AudioProcessor(object):
def _amp_to_db(self, x):
min_level = np.exp(self.min_level_db / 20 * np.log(10))
return 20 * np.log10(np.maximum(1e-5, x))
return 20 * np.log10(np.maximum(min_level, x))
def _db_to_amp(self, x):
return np.power(10.0, x * 0.05)
# def apply_preemphasis(self, x):
# return signal.lfilter([1, -self.preemphasis], [1], x)
#
# def apply_inv_preemphasis(self, x):
# return signal.lfilter([1], [1, -self.preemphasis], x)
def apply_preemphasis(self, x):
return signal.lfilter([1, -0.97], [1], x)
def apply_inv_preemphasis(self, x):
return signal.lfilter([1], [1, -0.97], x)
def spectrogram(self, y):
# D = self._stft(self.apply_preemphasis(y))
D = self._stft(y)
D = self._stft(self.apply_preemphasis(y))
# D = self._stft(apply_preemphasis(y))
S = self._amp_to_db(np.abs(D)) - self.ref_level_db
return self._normalize(S)
@ -76,8 +76,8 @@ class AudioProcessor(object):
S = self._denormalize(spectrogram)
S = self._db_to_amp(S + self.ref_level_db) # Convert back to linear
# Reconstruct phase
# return self.apply_inv_preemphasis(self._griffin_lim(S ** self.power))
return self._griffin_lim(S ** self.power)
return self.apply_inv_preemphasis(self._griffin_lim(S ** self.power))
# return self._griffin_lim(S ** self.power)
# def _griffin_lim(self, S):
# '''librosa implementation of Griffin-Lim
@ -105,7 +105,7 @@ class AudioProcessor(object):
return y
def melspectrogram(self, y):
D = self._stft(y)
D = self._stft(self.apply_preemphasis(y))
S = self._amp_to_db(self._linear_to_mel(np.abs(D))) - self.ref_level_db
return self._normalize(S)