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@ -11,49 +11,53 @@ import numpy as np
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random_seed=0
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#audio instance
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audio_data=[3.05175781e-05, -8.54492188e-04, -1.09863281e-03, -9.46044922e-04,\
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-1.31225586e-03, -1.09863281e-03, -1.73950195e-03, -2.10571289e-03,\
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-2.04467773e-03, -1.46484375e-03, -1.43432617e-03, -9.46044922e-04,\
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-1.95312500e-03, -1.86157227e-03, -2.10571289e-03, -2.31933594e-03,\
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-2.01416016e-03, -2.62451172e-03, -2.07519531e-03, -2.38037109e-03]
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audio_data = [3.0517571e-05, -8.54492188e-04, -1.09863281e-03, -9.4604492e-04,\
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-1.31225586e-03, -1.09863281e-03, -1.73950195e-03, -2.1057189e-03,\
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-2.04467773e-03, -1.46484375e-03, -1.43432617e-03, -9.4604492e-04,\
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-1.95312500e-03, -1.86157227e-03, -2.10571289e-03, -2.3193354e-03,\
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-2.01416016e-03, -2.62451172e-03, -2.07519531e-03, -2.3803719e-03]
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audio_data = np.array(audio_data)
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samplerate = 10
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class TestAugmentor(unittest.TestCase):
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def test_volume(self):
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augmentation_config='[{"type": "volume","params": {"min_gain_dBFS": -15, "max_gain_dBFS": 15},"prob": 1.0}]'
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augmentation_pipeline = AugmentationPipeline(augmentation_config=augmentation_config,
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config_json = '[{"type": "volume","params": {"min_gain_dBFS": -15, '\
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'"max_gain_dBFS": 15},"prob": 1.0}]'
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aug_pipeline = AugmentationPipeline(augmentation_config=config_json,
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random_seed=random_seed)
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audio_segment = audio.AudioSegment(audio_data, samplerate)
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augmentation_pipeline.transform_audio(audio_segment)
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original_audio = audio.AudioSegment(audio_data, samplerate)
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self.assertFalse(np.any(audio_segment.samples == original_audio.samples))
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audio_seg = audio.AudioSegment(audio_data, samplerate)
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aug_pipeline.transform_audio(audio_seg)
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orig_audio = audio.AudioSegment(audio_data, samplerate)
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self.assertFalse(np.any(audio_seg.samples == orig_audio.samples))
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def test_speed(self):
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augmentation_config='[{"type": "speed","params": {"min_speed_rate": 1.2,"max_speed_rate": 1.4},"prob": 1.0}]'
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augmentation_pipeline = AugmentationPipeline(augmentation_config=augmentation_config,
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config_json = '[{"type":"speed","params": {"min_speed_rate": 1.2,' \
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'"max_speed_rate": 1.4},"prob": 1.0}]'
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aug_pipeline = AugmentationPipeline(augmentation_config=config_json,
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random_seed=random_seed)
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audio_segment = audio.AudioSegment(audio_data, samplerate)
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augmentation_pipeline.transform_audio(audio_segment)
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original_audio = audio.AudioSegment(audio_data, samplerate)
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self.assertFalse(np.any(audio_segment.samples == original_audio.samples))
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audio_seg = audio.AudioSegment(audio_data, samplerate)
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aug_pipeline.transform_audio(audio_seg)
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orig_audio = audio.AudioSegment(audio_data, samplerate)
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self.assertFalse(np.any(audio_seg.samples == orig_audio.samples))
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def test_resample(self):
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augmentation_config='[{"type": "resample","params": {"new_sample_rate":5},"prob": 1.0}]'
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augmentation_pipeline = AugmentationPipeline(augmentation_config=augmentation_config,
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config_json = '[{"type":"resample","params": {"new_sample_rate":5},'\
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'"prob": 1.0}]'
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aug_pipeline = AugmentationPipeline(augmentation_config=config_json,
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random_seed=random_seed)
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audio_segment = audio.AudioSegment(audio_data, samplerate)
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augmentation_pipeline.transform_audio(audio_segment)
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self.assertTrue(audio_segment.sample_rate == 5)
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audio_seg = audio.AudioSegment(audio_data, samplerate)
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aug_pipeline.transform_audio(audio_seg)
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self.assertTrue(audio_seg.sample_rate == 5)
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def test_bayesial(self):
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augmentation_config='[{"type": "bayesian_normal","params": {"target_db": -20, "prior_db": -4, "prior_samples": -8, "startup_delay": 0.0},"prob": 1.0}]'
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augmentation_pipeline = AugmentationPipeline(augmentation_config=augmentation_config,
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config_json = '[{"type":"bayesian_normal","params":{"target_db":-20,' \
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'"prior_db":-4, "prior_samples": -8, "startup_delay": 0.0},"prob":1.0}]'
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aug_pipeline = AugmentationPipeline(augmentation_config=config_json,
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random_seed=random_seed)
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audio_segment = audio.AudioSegment(audio_data, samplerate)
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augmentation_pipeline.transform_audio(audio_segment)
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original_audio = audio.AudioSegment(audio_data, samplerate)
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self.assertFalse(np.any(audio_segment.samples == original_audio.samples))
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audio_seg = audio.AudioSegment(audio_data, samplerate)
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aug_pipeline.transform_audio(audio_seg)
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orig_audio = audio.AudioSegment(audio_data, samplerate)
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self.assertFalse(np.any(audio_seg.samples == orig_audio.samples))
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if __name__ == '__main__':
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unittest.main()
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