def test_Vol(self):
test_filepath = common_utils.get_asset_path(
'steam-train-whistle-daniel_simon.wav')
waveform, _ = torchaudio.load(test_filepath)
self._assert_consistency(T.Vol(1.1), waveform)
def test_Vol(self):
test_filepath = os.path.join(common_utils.TEST_DIR_PATH, 'assets',
'steam-train-whistle-daniel_simon.wav')
waveform, _ = torchaudio.load(test_filepath)
self._assert_consistency(T.Vol(1.1), waveform)
def test_Vol(self):
waveform = common_utils.get_whitenoise()
self._assert_consistency(T.Vol(1.1), waveform)
def test_vol(self, gain_type, gain):
data, path = self.get_whitenoise()
result = T.Vol(gain, gain_type)(data)
self.assert_sox_effect(result, path, ['vol', f'{gain}', gain_type])
def test_vol(self, gain, gain_type):
sample_rate = 8000
transform = T.Vol(gain=gain, gain_type=gain_type)
waveform = get_whitenoise(sample_rate=sample_rate, duration=0.05, n_channels=2)
self.assert_grad(transform, [waveform])
