def _get_spectrograms(self, index):
r""" Return the corresponding spectrogram and waveform."""
file = self._waves[index]
# get hyper-parameters
hp = self.hparams
w, _ = lr.load(file, sr=hp.sr)
w, _ = lr.effects.trim(w) # triming
linear = audio.wave2spec(w, hp)
return linear, w
def _get_spectrograms(self, index):
r"""Return the corresponding spectrogram and waveform."""
file = self._waves[index]
# get hyper-parameters
hp = self.hparams
w, _ = lr.load(file, sr=hp.sr)
w, _ = lr.effects.trim(w) # triming
if hasattr(hp, "preemphasis"):
# apply a pre-emphasis filter to amplify the high frequencies
w = audio.preemphasis(w, factor=hp.preemphasis)
linear = audio.wave2spec(w, hp)
return linear, w