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An Unsupervised Audio Segmentation Method Using Bayesian Information Criterion

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Original languageEnglish
Title of host publication6th International Symposium on Communications, Control & Signal Processing, ISCCSP, 21-23.5.2014, Athens, Greece
Place of PublicationNEW YORK
Number of pages4
ISBN (Print)978-1-4799-2890-3
Publication statusPublished - 2014
Publication typeA4 Article in a conference publication
EventInternational symposium on communications, control and signal processing -
Duration: 1 Jan 2014 → …


ConferenceInternational symposium on communications, control and signal processing
Period1/01/14 → …


Audio segmentation is a well-known problem which can be considered from various angles. In the context of this paper, audio segmentation problem is to extract small 'homogeneous' pieces of audio in which the content does not change in terms of the present audio events. The proposed method is compared with the well-known segmentation method; Bayesian Information Criterion (BIC) based Divide-and-Conquer, in terms of average segment duration and computational complexity. © 2014 IEEE.


  • Audio Segmentation, Bayesian Information Criterion, Energy Based Segmentation

Publication forum classification

Field of science, Statistics Finland