def test_can_apply_sliding_windows_in_succession(self):
samplerate = SR11025()
short_window = samplerate * (16, 512)
long_window = SampleRate(
frequency=short_window.frequency * 1,
duration=short_window.frequency * 64)
rs = resampled(resample_to=samplerate, store_resampled=True)
samples = AudioSamples.silence(samplerate, Seconds(10))
@simple_in_memory_settings
class Sound(rs):
short_windowed = ArrayWithUnitsFeature(
SlidingWindow,
wscheme=short_window,
needs=rs.resampled)
long_windowed = ArrayWithUnitsFeature(
SlidingWindow,
wscheme=long_window,
needs=short_windowed)
_id = Sound.process(meta=samples.encode())
snd = Sound(_id)
self.assertEqual((512,), snd.short_windowed.shape[1:])
self.assertEqual((64, 512), snd.long_windowed.shape[1:])
def _process(self, data):
sr = data.samples_per_second
if self._resample is None:
target_sr = self._samplerate.samples_per_second
self._resample = Resample(
sr, target_sr, 1 if len(data.shape) == 1 else data.shape[1])
if target_sr != sr:
self._rs = self._resample
# KLUDGE: The following line seems to solve a bug whereby
# libsamplerate doesn't generate enough samples the first time
# src_process is called. We're calling it once here, so the "real"
# output will come out click-free
silence = AudioSamples.silence(self._samplerate,
Seconds(1),
channels=data.channels)
self._resample(silence)
else:
self._rs = self._noop
resampled = self._rs(data, self._finalized)
if not isinstance(resampled, ArrayWithUnits):
resampled = AudioSamples(resampled, self._samplerate)
yield resampled
def synthesize(self, duration):
"""
Synthesize silence
Args:
duration (numpy.timedelta64): The duration of the synthesized sound
"""
return AudioSamples.silence(self.samplerate, duration)
def synthesize(self, duration):
"""
Synthesize silence
Args:
duration (numpy.timedelta64): The duration of the synthesized sound
"""
return AudioSamples.silence(self.samplerate, duration)
def test_smoke(self):
samples = AudioSamples.silence(SR22050(), Seconds(1))
samplerate = SR22050()
scale = GeometricScale(start_center_hz=20,
stop_center_hz=5000,
bandwidth_ratio=1.2,
n_bands=8)
scale.ensure_overlap_ratio(0.5)
taps = 16
filter_bank = fir_filter_bank(scale, taps, samplerate, np.hanning(3))
correlogram = auto_correlogram(samples, filter_bank)
self.assertEqual(3, correlogram.ndim)
def test_smoke(self):
samples = AudioSamples.silence(SR22050(), Seconds(1))
samplerate = SR22050()
scale = GeometricScale(
start_center_hz=20,
stop_center_hz=5000,
bandwidth_ratio=1.2,
n_bands=8)
scale.ensure_overlap_ratio(0.5)
taps = 16
filter_bank = fir_filter_bank(scale, taps, samplerate, np.hanning(3))
correlogram = auto_correlogram(samples, filter_bank)
self.assertEqual(3, correlogram.ndim)
def test_can_apply_sliding_windows_in_succession(self):
samplerate = SR11025()
short_window = samplerate * (16, 512)
long_window = SampleRate(frequency=short_window.frequency * 1,
duration=short_window.frequency * 64)
rs = resampled(resample_to=samplerate, store_resampled=True)
samples = AudioSamples.silence(samplerate, Seconds(10))
@simple_in_memory_settings
class Sound(rs):
short_windowed = ArrayWithUnitsFeature(SlidingWindow,
wscheme=short_window,
needs=rs.resampled)
long_windowed = ArrayWithUnitsFeature(SlidingWindow,
wscheme=long_window,
needs=short_windowed)
_id = Sound.process(meta=samples.encode())
snd = Sound(_id)
self.assertEqual((512, ), snd.short_windowed.shape[1:])
self.assertEqual((64, 512), snd.long_windowed.shape[1:])
def test_can_decompose_audio_samples(self):
samples = AudioSamples.silence(SR22050(), Seconds(1))
bands = frequency_decomposition(samples, [64, 128, 256, 512, 1024])
expected_td = TimeDimension(samples.end, samples.end)
self.assertEqual(expected_td, bands.dimensions[0])
self.assertIsInstance(bands.dimensions[1], ExplicitFrequencyDimension)
def test_can_decompose_audio_samples(self):
samples = AudioSamples.silence(SR22050(), Seconds(1))
bands = frequency_decomposition(samples, [64, 128, 256, 512, 1024])
expected_td = TimeDimension(samples.end, samples.end)
self.assertEqual(expected_td, bands.dimensions[0])
self.assertIsInstance(bands.dimensions[1], ExplicitFrequencyDimension)
