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Computational linguistics / Science / Automatic identification and data capture / Computer accessibility / Speech recognition / MLAN / Neural network / Hidden Markov model / Tandem Computers / Computing / Computer architecture / Computational neuroscience


MULTI-LEVEL ADAPTIVE NETWORKS IN TANDEM AND HYBRID ASR SYSTEMS Peter Bell, Pawel Swietojanski, and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK ABSTRACT In this paper
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Document Date: 2013-04-25 21:11:16


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City

Trento / V. Wan / Lincoln / Edinburgh / /

Company

MULTI-LEVEL ADAPTIVE NETWORKS / BBC / British Broadcasting Corporation / NVIDIA / GPU / F. Grezl A.E. / /

Country

Italy / /

Facility

P.N. Garner / Theano library / University of Edinburgh / /

IndustryTerm

speech recognition systems / multi-genre media archives using out-of-domain data / adaptive networks / tandem systems / dependent neural network / deep belief networks / Web inventory / conversational telephone speech / large vocabulary speech recognition systems / neural networks / low resource speech recognition applications / context-dependent deep neural networks / discriminative training algorithms / tandem and hybrid deep neural networks / hybrid systems / tandem and hybrid systems / learning algorithm / deep neural networks / /

MarketIndex

set 20 / /

MusicAlbum

Speech / /

Organization

European Association for Machine Translation / University of Edinburgh / ADAPTIVE NETWORKS IN TANDEM AND HYBRID ASR SYSTEMS Peter Bell / Pawel Swietojanski / and Steve Renals Centre for Speech Technology Research / /

Person

TED CTS AMI / /

Position

also performed speaker / speaker / /

Product

DNNs / GeForce GTX 690 GPUs / /

RadioStation

DNN / /

Technology

Spoken Language Technology / speech recognition / neural network / Machine Translation / discriminative training algorithms / speech recognition system / /

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