def test_deemph(self):
"""
Test biquad deemph filter, compare to SoX implementation
"""
noise_filepath = common_utils.get_asset_path('whitenoise.wav')
E = torchaudio.sox_effects.SoxEffectsChain()
E.set_input_file(noise_filepath)
E.append_effect_to_chain("deemph")
sox_output_waveform, sr = E.sox_build_flow_effects()
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.deemph_biquad(waveform, sample_rate)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
def test_deemph(self):
"""
Test biquad deemph filter, compare to SoX implementation
"""
noise_filepath = os.path.join(self.test_dirpath, "assets", "whitenoise.wav")
E = torchaudio.sox_effects.SoxEffectsChain()
E.set_input_file(noise_filepath)
E.append_effect_to_chain("deemph")
sox_output_waveform, sr = E.sox_build_flow_effects()
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.deemph_biquad(waveform, sample_rate)
assert torch.allclose(sox_output_waveform, output_waveform, atol=1e-4)
_test_torchscript_functional(F.deemph_biquad, waveform, sample_rate)
def test_deemph(self):
"""
Test biquad deemph filter, compare to SoX implementation
"""
E = torchaudio.sox_effects.SoxEffectsChain()
E.set_input_file(self.noise_filepath)
E.append_effect_to_chain("deemph")
sox_output_waveform, sr = E.sox_build_flow_effects()
output_waveform = F.deemph_biquad(self.noise_waveform,
self.NOISE_SAMPLE_RATE)
self.assertEqual(output_waveform,
sox_output_waveform,
atol=1e-4,
rtol=1e-5)
def func(tensor):
sample_rate = 44100
return F.deemph_biquad(tensor, sample_rate)
def test_deemph(self):
sample_rate = 44100
data, path = self.get_whitenoise(sample_rate)
result = F.deemph_biquad(data, sample_rate)
self.assert_sox_effect(result, path, ['deemph'])
