class Document(rs): windowed = ArrayWithUnitsFeature(SlidingWindow, wscheme=wscheme, needs=rs.resampled, store=False) dct = ArrayWithUnitsFeature(DCTIV, needs=windowed, store=True)
class ShortTimeFourierTransform(BaseModel): meta = JSONFeature(MetaData, store=True, encoder=AudioMetaDataEncoder) raw = ByteStreamFeature(ByteStream, chunksize=chunksize_bytes, needs=meta, store=False) ogg = OggVorbisFeature(OggVorbis, needs=raw, store=True) pcm = AudioSamplesFeature(AudioStream, needs=raw, store=False) resampled = AudioSamplesFeature(Resampler, needs=pcm, samplerate=resample_to, store=store_resampled) windowed = ArrayWithUnitsFeature(SlidingWindow, needs=resampled, wscheme=wscheme, wfunc=OggVorbisWindowingFunc(), store=store_windowed) fft = ArrayWithUnitsFeature(FFT, padding_samples=fft_padding_samples, needs=windowed, store=store_fft)
class Sound(rs): short_windowed = ArrayWithUnitsFeature(SlidingWindow, wscheme=short_window, needs=rs.resampled) long_windowed = ArrayWithUnitsFeature(SlidingWindow, wscheme=long_window, needs=short_windowed)
class Document(BaseModel, PersistenceSettings): source1 = ArrayWithUnitsFeature(MergeTester, total_frames=200, store=True) source2 = ArrayWithUnitsFeature(MergeTester, total_frames=200, store=True) merged = ArrayWithUnitsFeature(Merge, needs=[source1, source2], store=True)
class Document(rs): long_windowed = ArrayWithUnitsFeature( SlidingWindow, wscheme=SampleRate(Milliseconds(500), Seconds(1)), wfunc=OggVorbisWindowingFunc(), needs=rs.resampled, store=True) long_fft = ArrayWithUnitsFeature(FFT, needs=long_windowed, store=True)
class Document(rs): windowed = ArrayWithUnitsFeature(SlidingWindow, wscheme=wscheme, wfunc=OggVorbisWindowingFunc(), needs=rs.resampled, store=False) fft = ArrayWithUnitsFeature(FFT, needs=windowed, store=False) centroid = ArrayWithUnitsFeature(SpectralCentroid, needs=fft, store=True)
class Model(STFT, settings): binary = ArrayWithUnitsFeature(Binarize, predicate=lambda data: data >= 0, needs=STFT.fft, store=False) sliced = ArrayWithUnitsFeature(Slice, sl=slice(0, slice_size), needs=binary, store=True) packed = ArrayWithUnitsFeature(pack, needs=sliced, store=True)
class WithOnsets(self.STFT): transience = ArrayWithUnitsFeature(MeasureOfTransience, needs=self.STFT.fft, store=True) sliding_detection = ArrayWithUnitsFeature( SlidingWindow, needs=transience, wscheme=self.wscheme * Stride(frequency=1, duration=10), padwith=5, store=False) slices = TimeSliceFeature(MovingAveragePeakPicker, needs=sliding_detection, aggregate=np.median, store=True)
class Document(BaseModel, PersistenceSettings): source1 = ArrayWithUnitsFeature(MergeTester, total_frames=200, increments_of=12, store=True) source2 = ArrayWithUnitsFeature(MergeTester, total_frames=200, increments_of=17, store=True) source3 = ArrayWithUnitsFeature(MergeTester, total_frames=200, increments_of=32, store=True) merged = ArrayWithUnitsFeature(Merge, needs=(source1, source2, source3), store=True)
class FrequencyAdaptive(BaseModel): long_windowed = ArrayWithUnitsFeature(SlidingWindow, wscheme=long_window_sample_rate, wfunc=OggVorbisWindowingFunc(), needs=BaseModel.resampled, store=False) long_fft = ArrayWithUnitsFeature(FFT, needs=long_windowed, store=False) freq_adaptive = FrequencyAdaptiveFeature( FrequencyAdaptiveTransform, transform=np.fft.irfft, scale=scale, check_scale_overlap_ratio=check_scale_overlap_ratio, window_func=np.hanning, needs=long_fft, store=store_freq_adaptive)
class Document(BaseModel): long_windowed = ArrayWithUnitsFeature( SlidingWindow, wscheme=SampleRate(frequency=Milliseconds(500), duration=Seconds(1)), wfunc=windowing_func, needs=BaseModel.resampled, store=True) dct = ArrayWithUnitsFeature(DCT, scale_always_even=True, needs=long_windowed, store=True) mdct = FrequencyAdaptiveFeature(FrequencyAdaptiveTransform, transform=scipy.fftpack.idct, scale=scale, needs=dct, store=True)
class WithOnsets(self.STFT, Settings): onset_prep = ArrayWithUnitsFeature(SlidingWindow, needs=self.STFT.fft, wscheme=self.wscheme * (1, 3), store=False) complex_domain = ArrayWithUnitsFeature(ComplexDomain, needs=onset_prep, store=False) sliding_detection = ArrayWithUnitsFeature(SlidingWindow, needs=complex_domain, wscheme=self.wscheme * (1, 11), padwith=5, store=False) slices = TimeSliceFeature(MovingAveragePeakPicker, needs=sliding_detection, aggregate=np.median, store=True)
class Onsets(BaseModel): onset_prep = ArrayWithUnitsFeature(SlidingWindow, needs=fft_feature, wscheme=HalfLapped() * Stride(frequency=1, duration=3), store=False) complex_domain = ArrayWithUnitsFeature(ComplexDomain, needs=onset_prep, store=False) sliding_detection = ArrayWithUnitsFeature( SlidingWindow, needs=complex_domain, wscheme=HalfLapped() * Stride(frequency=1, duration=11), padwith=5, store=False) slices = TimeSliceFeature(MovingAveragePeakPicker, needs=sliding_detection, aggregate=np.median, store=True)
class Document(BaseModel): raw = ByteStreamFeature(ByteStream, chunksize=2 * 44100 * 30 * 2, store=True) ogg = OggVorbisFeature(OggVorbis, needs=raw, store=True) pcm = AudioSamplesFeature(AudioStream, needs=raw, store=True) resampled = AudioSamplesFeature(Resampler, needs=pcm, samplerate=samplerate, store=True) windowed = ArrayWithUnitsFeature(SlidingWindow, needs=resampled, wscheme=windowing_scheme, wfunc=OggVorbisWindowingFunc(), store=False) fft = ArrayWithUnitsFeature(FFT, needs=windowed, store=True) chroma = ArrayWithUnitsFeature(Chroma, needs=fft, frequency_band=band, store=True) bark = ArrayWithUnitsFeature(BarkBands, needs=fft, frequency_band=band, store=True) bfcc = ArrayWithUnitsFeature(BFCC, needs=bark, store=True) bfcc_sliding_window = ArrayWithUnitsFeature( SlidingWindow, needs=bfcc, wscheme=windowing_scheme * Stride(frequency=2, duration=4), store=True) bfcc_pooled = ArrayWithUnitsFeature(Max, needs=bfcc_sliding_window, axis=1, store=True)
class AudioGraph(BaseModel): meta = JSONFeature(MetaData, store=True, encoder=AudioMetaDataEncoder) raw = ByteStreamFeature(ByteStream, chunksize=chunksize_bytes, needs=meta, store=False) ogg = OggVorbisFeature(OggVorbis, needs=raw, store=True) pcm = AudioSamplesFeature(AudioStream, needs=raw, store=False) resampled = AudioSamplesFeature(Resampler, needs=pcm, samplerate=resample_to, store=False) windowed = ArrayWithUnitsFeature(SlidingWindow, needs=resampled, wscheme=HalfLapped(), wfunc=OggVorbisWindowingFunc(), store=False) dct = ArrayWithUnitsFeature(DCT, needs=windowed, store=True) fft = ArrayWithUnitsFeature(FFT, needs=windowed, store=store_fft) bark = ArrayWithUnitsFeature(BarkBands, needs=fft, frequency_band=band, store=True) centroid = ArrayWithUnitsFeature(SpectralCentroid, needs=bark, store=True) chroma = ArrayWithUnitsFeature(Chroma, needs=fft, frequency_band=band, store=True) bfcc = ArrayWithUnitsFeature(BFCC, needs=fft, store=True)
class Document(fa): rasterized = ArrayWithUnitsFeature( lambda fa: fa.rasterize(64).astype(np.float32), needs=fa.freq_adaptive, store=True)
class Sound(rs): windowed = ArrayWithUnitsFeature(SlidingWindow, wscheme=wscheme, wfunc=wfunc, needs=rs.resampled, store=store_windowed)
class Document(BaseModel, PersistenceSettings): source = ArrayWithUnitsFeature(MergeTester, store=True) merged = ArrayWithUnitsFeature(Merge, needs=[source], store=True)
class Document(BaseModel): windowed = ArrayWithUnitsFeature(SlidingWindow, wscheme=sw, store=True)
class Document(rs): windowed = ArrayWithUnitsFeature(SlidingWindow, wscheme=HalfLapped(), needs=rs.resampled, store=True)