class Sound(BaseModel):
"""
An audio processing pipeline that computes a frequency domain representation
of the sound that follows a geometric scale
"""
bark = zounds.ArrayWithUnitsFeature(zounds.BarkBands,
samplerate=samplerate,
stop_freq_hz=samplerate.nyquist,
needs=BaseModel.fft,
store=True)
long_windowed = zounds.ArrayWithUnitsFeature(
zounds.SlidingWindow,
wscheme=zounds.SampleRate(frequency=zounds.Milliseconds(358),
duration=zounds.Milliseconds(716)),
wfunc=zounds.OggVorbisWindowingFunc(),
needs=BaseModel.resampled,
store=True)
long_fft = zounds.ArrayWithUnitsFeature(zounds.FFT,
needs=long_windowed,
store=True)
freq_adaptive = zounds.FrequencyAdaptiveFeature(
zounds.FrequencyAdaptiveTransform,
transform=np.fft.irfft,
scale=scale,
window_func=np.hanning,
needs=long_fft,
store=False)
rasterized = zounds.ArrayWithUnitsFeature(lambda fa: fa.rasterize(64),
needs=freq_adaptive,
store=False)
class Document(BaseModel):
bark = zounds.ArrayWithUnitsFeature(zounds.BarkBands,
samplerate=samplerate,
stop_freq_hz=samplerate.nyquist,
needs=BaseModel.fft,
store=True)
long_windowed = zounds.ArrayWithUnitsFeature(
zounds.SlidingWindow,
wscheme=zounds.SampleRate(frequency=zounds.Milliseconds(500),
duration=zounds.Seconds(1)),
wfunc=windowing_func,
needs=BaseModel.resampled,
store=True)
dct = zounds.ArrayWithUnitsFeature(zounds.DCT,
scale_always_even=True,
needs=long_windowed,
store=True)
mdct = zounds.FrequencyAdaptiveFeature(zounds.FrequencyAdaptiveTransform,
transform=scipy.fftpack.idct,
scale=scale,
needs=dct,
store=True)