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Markov models / Estimation theory / Bioinformatics / Hidden Markov model / Statistical models / Probabilistic latent semantic analysis / Expectation–maximization algorithm / Mixture model / Singular value decomposition / Statistics / Algebra / Mathematics


MAXIMUM-LIKELIHOOD ADAPTATION OF SEMI-CONTINUOUS HMMS BY LATENT VARIABLE DECOMPOSITION OF STATE DISTRIBUTIONS Antoine Raux and Rita Singh School of Computer Science, Carnegie Mellon University, USA {antoine, rsingh}@cs.c
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Document Date: 2004-07-30 13:47:46

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Company

Lee D.D. / Neural Information Processing Systems / MIT Press / /

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Facility

Carnegie Mellon University / /

IndustryTerm

speech recognition systems / expectation maximization algorithm / clean telephone speech / reestimation algorithm / large vocabulary speech recognition systems / telephone-based bus information system / spoken dialogue systems / /

Movie

P / /

Organization

National Science Foundation / MIT / US Government / Carnegie Mellon University / SEMI / Rita Singh School of Computer Science / /

Person

Fig / Antoine Raux / SEMI-CONTINUOUS HMMS BY LATENT VARIABLE / /

Position

specific speaker / speaker / various speaker / given speaker / current speaker / /

ProgrammingLanguage

ML / /

PublishedMedium

the Communicator / /

Technology

PLSA algorithm / speech recognition / Baum-Welch reestimation algorithm / Baum-Welch algorithm / expectation maximization algorithm / NMF algorithm / speech recognition system / EM algorithm / obtained using an expectation maximization algorithm / /

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