HEAL DSpace

Redefining the Bayesian information criterion for speaker diarisation

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dc.contributor.author Stafylakis, T en
dc.contributor.author Katsouros, V en
dc.contributor.author Carayannis, G en
dc.date.accessioned 2014-03-01T02:52:06Z
dc.date.available 2014-03-01T02:52:06Z
dc.date.issued 2009 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/35843
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-70450175271&partnerID=40&md5=070b01691969ae52cdabd65260818957 en
dc.subject Bayesian information criterion en
dc.subject Cluster analysis en
dc.subject Speaker diarisation en
dc.subject.other Bayesian information criterion en
dc.subject.other Benchmark tests en
dc.subject.other Dissimilarity measures en
dc.subject.other Hierarchical clustering algorithms en
dc.subject.other Penalty term en
dc.subject.other Sample sizes en
dc.subject.other Bayesian networks en
dc.subject.other Cluster analysis en
dc.subject.other Speech communication en
dc.subject.other Clustering algorithms en
dc.title Redefining the Bayesian information criterion for speaker diarisation en
heal.type conferenceItem en
heal.publicationDate 2009 en
heal.abstract A novel approach to the Bayesian Information Criterion (BIC) is introduced. The new criterion redefines the penalty terms of the BIC, such that each parameter is penalized with the effective sample size is trained with. Contrary to Local-BIC, the proposed criterion scores overall clustering hypotheses and therefore is not restricted to hierarchical clustering algorithms. Contrary to Global-BIC, it provides a local dissimilarity measure that depends only the statistics of the examined clusters and not on the overall sample size. We tested our criterion with two benchmark tests and found significant improvement in performance in the speaker diarisation task. Copyright © 2009 ISCA. en
heal.journalName Proceedings of the 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009 en
dc.identifier.spage 1051 en
dc.identifier.epage 1054 en


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