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Computer accessibility / Speech recognition / Human–computer interaction / Code-excited linear prediction / Speech coding / Lawrence Rabiner / Speech / Mean opinion score / Mixed-excitation linear prediction / Computational linguistics / Human communication / Automatic identification and data capture


TESTING THE ABILITY OF SPEECH RECOGNIZERS TO MEASURE THE EFFECTIVENESS OF ENCODING ALGORITHMS FOR DIGITAL SPEECH TRANSMISSION C. Michael Chernick, Stefan Leigh, Kevin L. Mills, and Robert Toense National Institute of Sta
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Document Date: 2009-02-03 16:25:31


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Company

Prentice-Hall / Compounded Digital Telecommunication Systems / IEEE Global Telecommunications / /

Facility

Robert Toense National Institute of Standards and Technology January / /

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IndustryTerm

transmission algorithms / similar test systems / wireless communication channels / multi-media coding / speech encoding algorithms / speech recognition technology / Wireless Communications / automated speech recognition technology / Internet channels / speech coding algorithms / digital cellular telephony / network-based speech coding algorithms / /

NaturalFeature

TIMIT Database CELP Encoder Noisy Channel / /

Organization

National Institute of Standards and Technology / Advanced Research Projects Agency / Vol. / International Telecommunications Union / General Services Administration / Audio Engineering Society / /

Person

Lawrence Rabiner / Nancy Dahlgren / John Fiscus / Lothar Sachs / Steve Young / Dave Ollason / William Fisher / Stefan Leigh / Julian Odell / John Garfolo / Connie Scholl / Kevin L. Mills / David Pallett / Stephen Voran / Thomas P Barnwell / Phil Woodland / /

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PublishedMedium

Scientific American / /

Technology

automated speech recognition technology / speech recognition / 42nd Vehicular Technology / packet switching / speech recognition technology / network-based speech coding algorithms / transmission algorithms / automatically scoring speech coding algorithms / ATM / speech encoding algorithms / /

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