Caution

You're reading the documentation for a development version. For the latest released version, please have a look at 0.9.1.

librosa.effects.hpss¶

librosa.effects.hpss(y, **kwargs)[source]¶

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 y.

Parameters

ynp.ndarray [shape=(…, n)]: audio time series. Multi-channel is supported.
**kwargsadditional keyword arguments.: See librosa.decompose.hpss for details.

Returns

y_harmonicnp.ndarray [shape=(…, n)]: audio time series of the harmonic elements
y_percussivenp.ndarray [shape=(…, n)]: audio time series of the percussive elements

See also

harmonic: Extract only the harmonic component
percussive: Extract only the percussive component
librosa.decompose.hpss: HPSS on spectrograms

Examples

>>> # 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))