maad.features.temporal_moments

maad.features.temporal_moments(s, fs=None, roi=None)

Computes the first 4th moments of an audio signal, mean, variance, skewness, kurtosis.

Parameters:

s1D array

Audio to process

fsfloat, optional

Sampling frequency of audio signal The default is None

roipandas.Series, optional

Region of interest where peak frequency will be computed. Series must have a valid input format with index: min_t, min_f, max_t, max_f. The default is None.

Returns:

meanfloat

mean of the audio

varfloat

variance of the audio

skewfloat

skewness of the audio

kurtfloat

kurtosis of the audio

Examples

>>> from maad import sound, features
>>> s, fs = sound.load('../data/spinetail.wav')
>>> sm, sv, ss, sk = features.temporal_moments (s, fs)
>>> print('mean: %2.2f / var: %2.5f / skewness: %2.4f / kurtosis: %2.2f' % (sm, sv, ss, sk))
mean: -0.00 / var: 0.00117 / skewness: -0.0065 / kurtosis: 24.71