A method ( 200 ) and apparatus ( 100 ) for segmenting a sequence of audio samples into homogeneous segments ( 550 and 555 ) are disclosed. The method ( 200 ) forms a sequence of frames ( 701 to 704 ) along the sequence of audio samples, and extracts, for each frame, a data feature. The data features form a sequence of data features. Transition points in the sequence of data features are then detected by applying the Bayesian Information Criterion to the sequence of data features. The transition points define the homogeneous segments ( 550 and 555 ). Preferably the data feature is single-dimensional and a leptokurtic distribution is used as an event model in the Bayesian Information Criterion.
Audio segmentation with energy-weighted bandwidth bias