def test_serialize_parameters(self):
transform = AddShortNoises(sounds_path=os.path.join(
DEMO_DIR, "background_noises"),
p=1.0)
samples = np.random.normal(0, 1, size=1024).astype(np.float32)
transform.randomize_parameters(samples, sample_rate=16000)
json.dumps(transform.serialize_parameters())
def test_add_silence(self):
"""Check that AddShortNoises does not crash if a noise is completely silent."""
sample_rate = 48000
samples = np.sin(np.linspace(0, 440 * 2 * np.pi,
7000)).astype(np.float32)
augmenter = AddShortNoises(
sounds_path=os.path.join(DEMO_DIR, "silence"),
min_time_between_sounds=0.001,
max_time_between_sounds=0.002,
p=1.0,
)
augmenter.parameters = {
"should_apply":
True,
"sounds": [{
"fade_in_time":
0.04257633246838298,
"start":
-0.00013191289693534575,
"end":
0.8071696744046519,
"fade_out_time":
0.07119110196424423,
"file_path":
os.path.join(DEMO_DIR, "silence", "silence.wav"),
"snr_in_db":
19.040001423519563,
}],
}
augmenter.freeze_parameters()
samples_out = augmenter(samples=samples, sample_rate=sample_rate)
self.assertEqual(samples_out.dtype, np.float32)
self.assertEqual(samples_out.shape, samples.shape)
def test_picklability(self):
transform = AddShortNoises(sounds_path=os.path.join(
DEMO_DIR, "short_noises"),
p=1.0)
pickled = pickle.dumps(transform)
unpickled = pickle.loads(pickled)
self.assertEqual(transform.sound_file_paths,
unpickled.sound_file_paths)
def test_multichannel_audio_not_supported_yet(self):
sample_rate = 16000
samples_chn0 = np.sin(np.linspace(0, 440 * 2 * np.pi,
2 * sample_rate)).astype(np.float32)
samples_chn1 = np.sin(np.linspace(0, 440 * 2 * np.pi,
2 * sample_rate)).astype(np.float32)
samples = np.vstack((samples_chn0, samples_chn1))
augmenter = Compose([
AddShortNoises(
sounds_path=os.path.join(DEMO_DIR, "short_noises"),
min_time_between_sounds=2.0,
max_time_between_sounds=8.0,
p=1.0,
)
])
with self.assertRaises(MultichannelAudioNotSupportedException):
samples_out = augmenter(samples=samples, sample_rate=sample_rate)
def test_frozen_parameters(self):
sample_rate = 16000
samples = np.sin(np.linspace(0, 440 * 2 * np.pi,
9 * sample_rate)).astype(np.float32)
augmenter = Compose([
AddShortNoises(
sounds_path=os.path.join(DEMO_DIR, "short_noises"),
min_time_between_sounds=2.0,
max_time_between_sounds=8.0,
p=1.0,
)
])
samples_out1 = augmenter(samples=samples, sample_rate=sample_rate)
augmenter.freeze_parameters()
samples_out2 = augmenter(samples, sample_rate)
assert_array_equal(samples_out1, samples_out2)
def test_add_short_noises(self):
sample_rate = 16000
samples = np.sin(np.linspace(0, 440 * 2 * np.pi,
9 * sample_rate)).astype(np.float32)
rms_before = calculate_rms(samples)
augmenter = Compose([
AddShortNoises(
sounds_path=os.path.join(DEMO_DIR, "short_noises"),
min_time_between_sounds=2.0,
max_time_between_sounds=8.0,
p=1.0,
)
])
samples_out = augmenter(samples=samples, sample_rate=sample_rate)
self.assertEqual(samples_out.dtype, np.float32)
self.assertEqual(samples_out.shape, samples.shape)
rms_after = calculate_rms(samples_out)
self.assertGreater(rms_after, rms_before)
def test_input_shorter_than_noise(self):
"""
Verify correct behavior when the input sound is shorter than the added noise sounds.
"""
sample_rate = 16000
samples = np.sin(np.linspace(0, 440 * 2 * np.pi,
500)).astype(np.float32)
rms_before = calculate_rms(samples)
augmenter = Compose([
AddShortNoises(
sounds_path=os.path.join(DEMO_DIR, "short_noises"),
min_time_between_sounds=0.00001,
max_time_between_sounds=0.00002,
p=1.0,
)
])
samples_out = augmenter(samples=samples, sample_rate=sample_rate)
self.assertEqual(samples_out.dtype, np.float32)
self.assertEqual(samples_out.shape, samples.shape)
rms_after = calculate_rms(samples_out)
self.assertGreater(rms_after, rms_before)
def test_too_long_fade_time(self):
"""Check that a too long fade time does not result in an exception."""
sample_rate = 16000
samples = np.sin(np.linspace(0, 440 * 2 * np.pi,
9 * sample_rate)).astype(np.float32)
rms_before = calculate_rms(samples)
augmenter = Compose([
AddShortNoises(
sounds_path=os.path.join(DEMO_DIR, "short_noises"),
min_time_between_sounds=2.0,
max_time_between_sounds=8.0,
min_fade_in_time=0.9,
max_fade_in_time=0.99,
min_fade_out_time=0.9,
max_fade_out_time=0.99,
p=1.0,
)
])
samples_out = augmenter(samples=samples, sample_rate=sample_rate)
self.assertEqual(samples_out.dtype, np.float32)
self.assertEqual(samples_out.shape, samples.shape)
rms_after = calculate_rms(samples_out)
self.assertGreater(rms_after, rms_before)
