librosax.feature.zero_crossing_rate¶

zero_crossing_rate(y: Array, *, frame_length: int = 2048, hop_length: int = 512, center: bool = True, **kwargs) → Array[source]¶

Compute the zero-crossing rate of an audio time series.

Parameters:

y –
Audio time series. The last axis must be time.
- (T,) - single waveform
- (B, T) - batch of waveforms
frame_length – Length of the frame over which to compute zero crossing rates
hop_length – Number of samples to advance for each frame
center – If True, frames are centered by padding the edges of y. Uses edge-value copies instead of zero-padding.
**kwargs – Additional keyword arguments to pass to zero_crossings

Returns:

Zero crossing rate with shape (..., 1, N).