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- librosa.effects.hpss(y, **kwargs)
Decompose an audio time series into harmonic and percussive components.
This function automates the STFT->HPSS->ISTFT pipeline, and ensures that the output waveforms have equal length to the input waveform
- ynp.ndarray [shape=(…, n)]
audio time series. Multi-channel is supported.
- **kwargsadditional keyword arguments.
- y_harmonicnp.ndarray [shape=(…, n)]
audio time series of the harmonic elements
- y_percussivenp.ndarray [shape=(…, n)]
audio time series of the percussive elements
>>> # Extract harmonic and percussive components >>> y, sr = librosa.load(librosa.ex('choice')) >>> y_harmonic, y_percussive = librosa.effects.hpss(y)
>>> # Get a more isolated percussive component by widening its margin >>> y_harmonic, y_percussive = librosa.effects.hpss(y, margin=(1.0,5.0))