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Mathematics / Statistical theory / Computer accessibility / Speech recognition / Principle of maximum entropy / Lattice / Abstract algebra / Statistics / Bayesian statistics


MAXIMUM ENTROPY BASED NORMALIZATION OF WORD POSTERIORS FOR PHONETIC AND LVCSR LATTICE SEARCH Peng Yu, Duo Zhang , Frank Seide Microsoft Research Asia, 5F Beijing Sigma Center, 49 Zhichun Rd., Beijing, P.R.C. roge
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Document Date: 2009-08-10 10:41:29


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City

Minneapolis / Montreal / Vancouver / /

Currency

USD / /

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Facility

Tsinghua University / /

IndustryTerm

search accuracy / search hit / phonetic and word-lattice search / phonetic-search system / hybrid search combining phonetic lattice / joint search task / phonetic search / hybrid systems / keyword-spotting systems / keyword search / hybrid lattice search / search scenarios / overall search accuracy / /

Organization

5F Beijing Sigma Center / Computer Science and Technology Department / Tsinghua University / /

Person

Ye Tian / S.D. Pietra / V / Asela Gunawardana / Yu Shi / Patrick Nguyen / Frank Seide / /

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PublishedMedium

the LDC Broadcast News / Computational Linguistics / /

SportsEvent

olympics / /

Technology

http / speech recognition / Natural Language Processing / /

URL

www.nist.gov/speech/tests / /

SocialTag