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Speech recognition / Accent / Science / Statistical classification / Generalized method of moments / Linguistics / Automatic identification and data capture / Computer accessibility


AN EMPIRICAL STUDY OF AUTOMATIC ACCENT CLASSIFICATION Ghinwa Choueiter Geoffrey Zweig, Patrick Nguyen Massachusetts Institute of Technology
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Document Date: 2007-10-06 13:49:59


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City

Denver / Tokyo / Geneva / Orlando / Antwerp / Cambridge / Adelaide / Baltimore / Paris / San Juan / /

Company

BP / Microsoft / /

Country

Switzerland / Belgium / Japan / Canada / Australia / /

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Facility

Patrick Nguyen Massachusetts Institute of Technology / Johns Hopkins University / McGill University / /

IndustryTerm

telephone speech / telephone-quality utterances / targeted advertising / /

MarketIndex

Set 25 / Set 95 / /

MusicAlbum

Speech / /

MusicGroup

P. A. / /

Organization

Federal Government / Johns Hopkins University / Massachusetts Institute of Technology / McGill University / Montreal / /

Person

E. Singer / T. P. Gleason / J. R. Deller Jr. / M. A. Kohler / P. A. Torres-Carrasquillo / Geoffrey Zweig / R. J. Greene / D. A. Reynolds / Patrick Nguyen / W. M. Campbell / /

/

Position

foreign speaker / speaker / Singer / /

ProvinceOrState

Maryland / Florida / Massachusetts / Colorado / Washington / /

Technology

Speech Recognition / artificial intelligence / Automatic Identification / EM algorithm / /

URL

http /

SocialTag