# librosa.feature.zero_crossing_rate¶

librosa.feature.zero_crossing_rate(y, frame_length=2048, hop_length=512, center=True, **kwargs)[source]

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

Parameters: y : np.ndarray [shape=(n,)] Audio time series frame_length : int > 0 Length of the frame over which to compute zero crossing rates hop_length : int > 0 Number of samples to advance for each frame center : bool If True, frames are centered by padding the edges of y. This is similar to the padding in librosa.core.stft, but uses edge-value copies instead of reflection. kwargs : additional keyword arguments Note By default, the pad parameter is set to False, which differs from the default specified by librosa.core.zero_crossings. zcr : np.ndarray [shape=(1, t)] zcr[0, i] is the fraction of zero crossings in the i th frame

librosa.core.zero_crossings
>>> y, sr = librosa.load(librosa.util.example_audio_file())