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Markov models / Statistical models / Data analysis / Neural networks / Speech recognition / Hidden Markov model / Boltzmann machine / Principal component analysis / Covariance matrix / Statistics / Probability and statistics / Machine learning


Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine George E. Dahl, Marc’Aurelio Ranzato, Abdel-rahman Mohamed, and Geoffrey Hinton Department of Computer Science University of Toronto {gdahl, ranza
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Document Date: 2010-10-31 17:33:50

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City

San Francisco / /

Company

DBN / Springer-Verlag New York Inc. / Deep Belief Networks / Neural Information Processing Systems / Neural Networks / Monte Carlo / Morgan Kaufmann Publishers Inc. / /

Country

United States / /

Currency

/ /

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Event

Reorganization / /

Facility

University of Toronto / Computer Science University of Toronto / /

IndustryTerm

speech recognition systems / vision applications / energy function / outer products / up-down algorithm / cRBM energy function / unsupervised pretraining algorithm / log energy / graphics processors / large vocabulary tools / belief networks / mcRBM energy function / cRBM energy function2 / learning algorithm / mcRBM free energy / energy / /

MarketIndex

SET 50 / /

MusicAlbum

Speech / /

Organization

Department of Computer Science / Geoffrey Hinton Department / University of Toronto / /

Person

D. E. Rumelhart / Geoffrey Hinton / R. J. Williams / V. Nair / G. E. Hinton / Aurelio Ranzato / UTML TR / /

Position

feature extractor / purely unsupervised feature extractor / speaker / RT / deep feed-forward / /

Technology

speech recognition / neural network / 3-d / exploiting graphics processors / unsupervised pretraining algorithm / up-down algorithm / /

URL

http /

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