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Bayes Factor based speaker segmentation for speaker diarization

Wang, David, Vogt, Robert J., & Sridharan, Sridha (2010) Bayes Factor based speaker segmentation for speaker diarization. In Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech 2010), International Speech Communication Association, Makuhari Messe International Convention Complex, Chiba, Makuhari, Japan, 1405 -1408.

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Abstract

This paper proposes the use of the Bayes Factor as a distance metric for speaker segmentation within a speaker diarization system. The proposed approach uses a pair of constant sized, sliding windows to compute the value of the Bayes Factor between the adjacent windows over the entire audio. Results obtained on the 2002 Rich Transcription Evaluation dataset show an improved segmentation performance compared to previous approaches reported in literature using the Generalized Likelihood Ratio. When applied in a speaker diarization system, this approach results in a 5.1% relative improvement in the overall Diarization Error Rate compared to the baseline.

Impact and interest:

2 citations in Scopus
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2 citations in Web of Science®

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Full-text downloads:

118 since deposited on 21 Mar 2011
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ID Code: 40855
Item Type: Conference Paper
Keywords: Speaker Diarization, Speaker Segmentation, Bayes Factor, Generalized Likelihood Ratio
ISSN: 1990-9772
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Natural Language Processing (080107)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Funding:
  • ARC LINKAGE /LP0991238
Copyright Owner: Copyright 2010 International Speech Communication Association. All rights reserved.
Deposited On: 22 Mar 2011 09:48
Last Modified: 19 Jun 2014 16:45

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