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Small edits on training and audio scripts

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This commit is contained in:
Eren Golge
2018-04-17 09:57:15 -07:00
parent 89dded8964
commit ee32fbc011
2 changed files with 7 additions and 4 deletions
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utils/audio.py
+4 -3
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@@ -1,6 +1,7 @@
import os
import librosa
import pickle
import copy
import numpy as np
from scipy import signal
@@ -38,15 +39,15 @@ class AudioProcessor(object):
return librosa.filters.mel(self.sample_rate, n_fft, n_mels=self.num_mels)
def _normalize(self, S):
return np.clip((S - self.min_level_db) / -self.min_level_db, 0, 1)
return np.clip((S - self.min_level_db) / -self.min_level_db, 1e-8, 1)
def _denormalize(self, S):
return (np.clip(S, 0, 1) * -self.min_level_db) + self.min_level_db
def _stft_parameters(self, ):
n_fft = (self.num_freq - 1) * 2
hop_length = int(self.frame_shift_ms / 1000 * self.sample_rate)
win_length = int(self.frame_length_ms / 1000 * self.sample_rate)
hop_length = int(self.frame_shift_ms / 1000.0 * self.sample_rate)
win_length = int(self.frame_length_ms / 1000.0 * self.sample_rate)
return n_fft, hop_length, win_length
def _amp_to_db(self, x):