def load_audio(audio_path, del_silence):
sound = np.memmap(audio_path, dtype='h', mode='r').astype('float32')
if del_silence:
non_silence_indices = split(sound, top_db=30)
sound = np.concatenate([sound[start:end] for start, end in non_silence_indices])
sound /= 32767 # normalize audio
return sound
def extract_noise(self, audio_path):
try:
signal = np.memmap(audio_path, dtype='h', mode='r').astype('float32')
non_silence_indices = split(signal, top_db=30)
for (start, end) in non_silence_indices:
signal[start:end] = 0
noise = signal[signal != 0]
return noise / 32767
except RuntimeError:
logger.info("RuntimeError in {0}".format(audio_path))
return None
except ValueError:
logger.info("RuntimeError in {0}".format(audio_path))
return None
