mlprimitives.candidates.audio_featurization module¶

mlprimitives.candidates.audio_featurization.FFT(data, nFFT)[source]¶

mlprimitives.candidates.audio_featurization.energy(data)[source]¶: Computes signal energy of data

mlprimitives.candidates.audio_featurization.energy_entropy(data, fs, numOfShortBlocks=10)[source]¶: Computes entropy of energy

mlprimitives.candidates.audio_featurization.featurize_audio(X, sample_frequencies)[source]¶

mlprimitives.candidates.audio_featurization.featurize_segments(segments, sample_frequency)[source]¶

mlprimitives.candidates.audio_featurization.rand_attr1(data)[source]¶

mlprimitives.candidates.audio_featurization.spectral_centroid_and_spread(data, fs)[source]¶: Computes spectral centroid of frame (given abs(FFT))

mlprimitives.candidates.audio_featurization.spectral_entropy(data, numOfShortBlocks=10)[source]¶: Computes the spectral entropy

mlprimitives.candidates.audio_featurization.spectral_flux(d0, d1)[source]¶: Computes the spectral flux feature of the current frame

mlprimitives.candidates.audio_featurization.spectral_rolloff(data, coeff)[source]¶: Computes spectral roll-off

mlprimitives.candidates.audio_featurization.zcr(data)[source]¶: Computes zero crossing rate of segment