def test_bass(self): central_freq = 1000 q = 0.707 gain = 40 sample_rate = 8000 data, path = self.get_whitenoise(sample_rate) result = F.bass_biquad(data, sample_rate, gain, central_freq, q) self.assert_sox_effect(result, path, ['bass', gain, central_freq, f'{q}q'], atol=1.5e-4)
def test_bass(self): """ Test biquad bass 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("bass", [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.bass_biquad(waveform, sample_rate, gain, central_freq, q) self.assertEqual(output_waveform, sox_output_waveform, atol=1.5e-4, rtol=1e-5)
def test_bass(self): """ Test biquad bass 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("bass", [gain, central_freq, str(q) + 'q']) sox_output_waveform, sr = E.sox_build_flow_effects() output_waveform = F.bass_biquad(self.noise_waveform, self.NOISE_SAMPLE_RATE, gain, central_freq, q) self.assertEqual(output_waveform, sox_output_waveform, atol=1.5e-4, rtol=1e-5)
def func(tensor): sample_rate = 44100 gain = 40. central_freq = 1000. q = 0.707 return F.bass_biquad(tensor, sample_rate, gain, central_freq, q)