Merge pull request #58 from pranshurastogi29/patch-1

# this works fine for timit but if you get array of shape 0 for any o…

data_preprocess.py

@@ -32,7 +32,9 @@ def save_spectrogram_tisv():
  if utter_name[-4:] == '.WAV':
  utter_path = os.path.join(folder, utter_name) # path of each utterance
  utter, sr = librosa.core.load(utter_path, hp.data.sr) # load utterance audio
- intervals = librosa.effects.split(utter, top_db=30) # voice activity detection
+ intervals = librosa.effects.split(utter, top_db=30) # voice activity detection 
+ # this works fine for timit but if you get array of shape 0 for any other audio change value of top_db
+ # for vctk dataset use top_db=100
  for interval in intervals:
  if (interval[1]-interval[0]) > utter_min_len: # If partial utterance is sufficient long,
  utter_part = utter[interval[0]:interval[1]] # save first and last 180 frames of spectrogram.