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Linguistics / Science / Speech recognition / Computer accessibility / OOV / Speech Translation / Noisy channel model / Word error rate / Computational linguistics / Automatic identification and data capture / Human–computer interaction


CONFIDENCE ESTIMATION, OOV DETECTION AND LANGUAGE ID USING PHONE-TO-WORD TRANSDUCTION AND PHONE-LEVEL ALIGNMENTS + Christopher White, ++ Geoffrey Zweig, ∗ Lukas Burget, ∗ Petr Schwarz, ∗∗ Hynek Hermansky +
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Document Date: 2007-10-05 19:55:37


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City

Brno / Baltimore / /

Company

Wall Street Journal / Microsoft / /

Country

United States / Czech Republic / /

Facility

National Institute of Standards / Brno University of Technology / Oak Ridge Institute / IDIAP Research Institute / /

Organization

National Institute of Standards / the Johns Hopkins University / IDIAP Research Institute / U.S Department of Energy / Brno University of Technology / HLT Center of Excellence / Oak Ridge Institute for Science and Education / U.S. Department of Homeland Security / /

Person

Milind Mahajan / Petr Schwarz / Martin Karafit / Geoffrey Zweig / Lukas Burget / Lin Lawrence Chase / Thomas Hain / Mike Lincoln / Christopher White / Vincent Wan / Speech Recognizers / Giulia Garau / /

Position

speaker / /

PublishedMedium

the Wallstreet Journal / Wall Street Journal / /

Technology

Speech Recognition / Bioinformatics / /

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