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Bayesian statistics / Machine learning / Cluster analysis / Expectation–maximization algorithm / Maximum likelihood / Speech recognition / Speaker diarisation / Mixture model / Bayesian information criterion / Statistics / Estimation theory / Statistical theory


INTERSPEECHDiscriminative Training for Hierarchical Clustering in Speaker Diarization Oriol Vinyals1,2 , Gerald Friedland2 , Nelson Morgan1,2 University of California, Berkeley, CA, USA International Computer Scie
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Document Date: 2011-01-14 19:48:19


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Country

Japan / United States / /

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Facility

Nelson Morgan1 / 2 University of California / USA International Computer Science Institute / /

IndustryTerm

baseline algorithm / agglomerative hierarchical clustering-based speaker diarization systems / state-of-the art diarization algorithms / speaker diarization algorithm / large vocabulary speech recognition systems / /

Organization

University of California / Berkeley / Swiss National Science Foundation / USA International Computer Science Institute / /

Person

Fabio Valente / Diarization / /

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Position

RT / reference speaker / NIST RT / same speaker / hypothesized speaker / Dev07 NIST RT / Speaker / /

Product

Altec XT1 Speakers / /

ProgrammingLanguage

ML / /

ProvinceOrState

California / /

Technology

state-of-the art diarization algorithms / speech recognition / baseline algorithm / machine learning / speaker diarization algorithm / /

URL

http /

SocialTag