Tampere University of Technology

TUTCRIS Research Portal

An Unsupervised Audio Segmentation Method Using Bayesian Information Criterion

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication6th International Symposium on Communications, Control & Signal Processing, ISCCSP, 21-23.5.2014, Athens, Greece
Place of PublicationNEW YORK
PublisherIEEE
Pages640-643
Number of pages4
ISBN (Print)978-1-4799-2890-3
DOIs
Publication statusPublished - 2014
Publication typeA4 Article in a conference publication
EventInternational symposium on communications, control and signal processing -
Duration: 1 Jan 2014 → …

Conference

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

Abstract

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.

Keywords

  • Audio Segmentation, Bayesian Information Criterion, Energy Based Segmentation

Publication forum classification

Field of science, Statistics Finland