Single channel blind source separation using the best characteristic basis

Bin Gao*, W. L. Woo, S. S. Dlay

*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

This paper proposes a novel technique for separating single channel recording of speech mixture using a hybrid of maximum likelihood and maximum a posteriori estimators. In addition, the new algorithm proposes a new approach that accounts for the time structure of the source signals by encoding them into a set of basis filters that are characteristically the most significant. Real time testing of the new algorithm has been conducted and the obtained results are very encouraging.

Original languageEnglish
Title of host publication2008 3rd International Conference on Information and Communication Technologis
Subtitle of host publicationFrom Theory to Applications, ICTTA
PublisherIEEE
ISBN (Electronic)9781424417520
ISBN (Print)9781424417513
DOIs
Publication statusPublished - 23 May 2008
Event2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA - Damascus, Syrian Arab Republic
Duration: 7 Apr 200811 Apr 2008

Conference

Conference2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA
CountrySyrian Arab Republic
CityDamascus
Period7/04/0811/04/08

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