Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

8-2004

Abstract

This paper describes a new approach in locating the segments of singing voice in pop musical songs. Initially, GLR distance measure is employed to temporally detect the boundaries of singing voices and instrumental sounds. ICAFX is then adopted to extract the independent components of acoustic features for SVM classification. Experimental results indicate that ICA-FX can improve the classification performance by significantly reducing the independent components that are not related to class label information.

Discipline

Computer Sciences | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, UK, 2004 August 23-26

Volume

2

First Page

367

Last Page

370

ISBN

0769521282

Identifier

10.1109/ICPR.2004.1334222

Publisher

IEEE

City or Country

Cambridge

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