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USING ONLINE MODEL COMPARISON IN THE VARIATIONAL BAYES FRAMEWORK FOR ONLINE UNSUPERVISED VOICE ACTIVITY DETECTION David Cournapeau1 , Shinji Watanabe2 , Atsushi Nakamura2 , Tatsuya Kawahara1 1 2
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Document Date: 2010-03-04 16:29:09

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City

Kyoto / /

Company

Japan NTT Communication Science Laboratories / /

Currency

USD / /

Facility

Prentice Hall / Restaurant Street Average FAR / Kyoto University / /

IndustryTerm

energy levels / online fashion / online classification / online m2 / free energy definition / Online EM / free energy / negative free energy / online parameter estimation / Online extensions / variational bayes free energy / online model comparison scheme / online derivation / speech applications / statistical solution / mini-batch free energy / online manner / ONLINE MODEL COMPARISON IN THE VARIATIONAL BAYES FRAMEWORK FOR ONLINE UNSUPERVISED VOICE ACTIVITY DETECTION David Cournapeau1 / free energy defined / scalar product / online estimation / online estimated classifier / Online EM algorithm / online approximation / online updates / Online extension / energy / /

Organization

Cambridge university / Royal Statistical Society / Kyoto University / Variational Bayes EM / School of Informatics / /

Person

Seika Cho / /

Position

speaker / unimodal model for those sections / /

ProgrammingLanguage

VB / /

PublishedMedium

Journal of the Royal Statistical Society / /

Technology

EM Algorithm EM algorithm / Speech Recognition / VB-EM algorithm / following online EM algorithm / conventional EM algorithm / online EM algorithm / variational Bayesian EM algorithm / EM algorithm / /

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