Update audio.py

audio.py

@@ -11,7 +11,6 @@ def load_wav(path, sr):
 
 def save_wav(wav, path, sr):
     wav *= 32767 / max(0.01, np.max(np.abs(wav)))
-    #proposed by @dsmiller
     wavfile.write(path, sr, wav.astype(np.int16))
 
 def save_wavenet_wav(wav, path, sr):
@@ -60,7 +59,6 @@ def _stft(y):
     else:
         return librosa.stft(y=y, n_fft=hp.n_fft, hop_length=get_hop_size(), win_length=hp.win_size)
 
-##########################################################
 #Those are only correct when using lws!!! (This was messing with Wavenet quality for a long time!)
 def num_frames(length, fsize, fshift):
     """Compute number of time frames of spectrogram
@@ -81,7 +79,7 @@ def pad_lr(x, fsize, fshift):
     T = len(x) + 2 * pad
     r = (M - 1) * fshift + fsize - T
     return pad, pad + r
-##########################################################
+
 #Librosa correct padding
 def librosa_pad_lr(x, fsize, fshift):
     return 0, (x.shape[0] // fshift + 1) * fshift - x.shape[0]
@@ -97,8 +95,7 @@ def _linear_to_mel(spectogram):
 
 def _build_mel_basis():
     assert hp.fmax <= hp.sample_rate // 2
-    return librosa.filters.mel(hp.sample_rate, hp.n_fft, n_mels=hp.num_mels,
-                               fmin=hp.fmin, fmax=hp.fmax)
+    return librosa.filters.mel(sr=hp.sample_rate, n_fft=hp.n_fft, n_mels=hp.num_mels, fmin=hp.fmin, fmax=hp.fmax)
 
 def _amp_to_db(x):
     min_level = np.exp(hp.min_level_db / 20 * np.log(10))
@@ -133,4 +130,4 @@ def _denormalize(D):
     if hp.symmetric_mels:
         return (((D + hp.max_abs_value) * -hp.min_level_db / (2 * hp.max_abs_value)) + hp.min_level_db)
     else:
-        return ((D * -hp.min_level_db / hp.max_abs_value) + hp.min_level_db)
+        return ((D * -hp.min_level_db / hp.max_abs_value) + hp.min_level_db)