def test_treble(self):
"""
Test biquad treble filter, compare to SoX implementation
"""
CENTRAL_FREQ = 1000
Q = 0.707
GAIN = 40
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("treble", [GAIN, CENTRAL_FREQ, str(Q) + 'q'])
sox_output_waveform, sr = E.sox_build_flow_effects()
waveform, sample_rate = torchaudio.load(noise_filepath,
normalization=True)
output_waveform = F.treble_biquad(waveform, sample_rate, GAIN,
CENTRAL_FREQ, Q)
torch.testing.assert_allclose(output_waveform,
sox_output_waveform,
atol=1e-4,
rtol=1e-5)
def test_treble(self):
central_freq = 1000
q = 0.707
gain = 40
sample_rate = 8000
data, path = self.get_whitenoise(sample_rate)
result = F.treble_biquad(data, sample_rate, gain, central_freq, q)
self.assert_sox_effect(result, path, ['treble', gain, central_freq, f'{q}q'])
def test_treble(self):
"""
Test biquad treble filter, compare to SoX implementation
"""
central_freq = 1000
q = 0.707
gain = 40
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("treble", [gain, central_freq, str(q) + 'q'])
sox_output_waveform, sr = E.sox_build_flow_effects()
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.treble_biquad(waveform, sample_rate, gain, central_freq, q)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
def test_treble(self):
"""
Test biquad treble filter, compare to SoX implementation
"""
central_freq = 1000
q = 0.707
gain = 40
E = torchaudio.sox_effects.SoxEffectsChain()
E.set_input_file(self.noise_filepath)
E.append_effect_to_chain("treble", [gain, central_freq, str(q) + 'q'])
sox_output_waveform, sr = E.sox_build_flow_effects()
output_waveform = F.treble_biquad(self.noise_waveform,
self.NOISE_SAMPLE_RATE, gain,
central_freq, q)
self.assertEqual(output_waveform,
sox_output_waveform,
atol=1e-4,
rtol=1e-5)
def func(tensor):
sample_rate = 44100
gain = 40.
central_freq = 1000.
q = 0.707
return F.treble_biquad(tensor, sample_rate, gain, central_freq, q)
