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Linguistics / Human–computer interaction / Word error rate / Error / N-gram / Language model / Acoustic model / Computational linguistics / Speech recognition / Science


Available online at www.sciencedirect.com Speech Communication–200 www.elsevier.com/locate/specom Which words are hard to recognize? Prosodic, lexical, and
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Document Date: 2011-11-11 22:14:43


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City

Edinburgh / /

Company

SRI International / Wilson / B D OW M AX N AE / AX N AE / DH IY0 AX EY AE / Penn Treebank / Ó 2009 Elsevier B.V. / /

Country

United States / /

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Facility

Serra Mall / University of Washington / National Institute of Standards and Technology / Stanford University / Margaret Jacks Hall / University of Edinburgh / International Computer Science Institute / /

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IndustryTerm

state-ofthe-art speech recognition systems / research systems / in-domain telephone speech data / human speech processing / conversational telephone speech / conversational telephone speech evaluation data / telephone conversations / computing / different state-of-the-art conversational telephone speech recognizers / conversational speech recognition systems / computer dialogue systems / energy / using in-domain telephone speech data / /

MusicAlbum

Marcus / /

Organization

National Institute of Standards and Technology / University of Washington / Cambridge University / International Computer Science Institute / Department of Computer Science / United Kingdom Department of Linguistics / University of Edinburgh / Stanford University / School of Informatics / /

Person

Sharon Goldwater / Dan Jurafsky / Christopher D. Manning / Phil Woodland / Andreas Stolcke / /

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Position

speaker / rt / Fisher / Harper / Corresponding author / /

ProgrammingLanguage

FP / R / /

ProvinceOrState

California / /

RadioStation

10 Word / /

SportsLeague

Stanford University / /

Technology

speech recognition / http / html / speech-recognition / /

URL

www.elsevier.com/locate/specom / http /

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