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Computer accessibility / Speech recognition / Support vector machine / Finite state transducer / Margin classifier / Hinge loss / Mathematical optimization / Loss function / Statistics / Statistical classification / Automatic identification and data capture


MODIFIED MPE/MMI IN A TRANSDUCER-BASED FRAMEWORK G. Heigold, R. Schl¨uter, and H. Ney Chair of Computer Science 6 - Computer Science Department RWTH Aachen University, Aachen {heigold,schlueter,ney}@cs.rwth-aachen.de AB
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Document Date: 2009-06-30 07:12:36

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Kyoto / Barcelona / Brisbane / Helsinki / Honolulu / A TRANSDUCER / /

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Neural Information Processing Systems / Las Vegas NV / /

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Japan / United States / Australia / Finland / Spain / /

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Computer Science Department RWTH Aachen University / library FSA / /

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gradient-based algorithms / optimization algorithms / search / gradient-based optimization algorithms / /

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Defense Advanced Research Projects Agency / Computer Science Department RWTH Aachen University / Aachen / FSA / European Union / European Parliament / U.S. Securities and Exchange Commission / /

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author / Speaker / forward / acoustic model for i-smoothing / /

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E / ML / /

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Hawaii / /

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same algorithms / speech recognition / EBW algorithm / FB algorithm / Neural Network / same FB algorithm / gradient-based algorithms / optimization algorithms / FSA algorithms / Machine Learning / gradient-based optimization algorithms / /

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