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Computational linguistics / Speech recognition / Automatic identification and data capture / Computer accessibility / Dynamic time warping / Template matching / Search engine indexing / Template / Word error rate / Information science / Computing / Software


INTEGRATING META-INFORMATION INTO EXEMPLAR-BASED SPEECH RECOGNITION WITH SEGMENTAL CONDITIONAL RANDOM FIELDS Kris Demuynck, Dino Seppi, Dirk Van Compernolle∗ Patrick Nguyen, Geoffrey Zweig
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Document Date: 2011-03-24 11:58:14


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City

EXEMPLAR / /

Company

Microsoft / /

Event

Reorganization / /

IndustryTerm

template search / travel grant / grid search / forward-backward algorithm / baseline systems / search space / pre-processing / recognition systems / /

Organization

European Union / Katholieke Universiteit Leuven / /

Person

Dimitri Kanevsky / Jan Roelens / Viktoria Maier / Bhuvana Ramabhadran / Tara N. Sainath / Hugo Van / David Nahamoo / Ronald Cools / Patrick Wambacq / Dirk Van Compernolle / Ladan Golipour / Demange Van Compernolle / Mike Matton / Dino Seppi / Geoffrey Zweig / Entropy Warping / Mathias De Wachter / Roger K. Moore / Geoffrey Zweig Katholieke Universiteit Leuven / Patrick Nguyen / Dirk Van Compernolle∗ Patrick Nguyen / Kris Demuynck / /

/

Position

Temporal episodic memory model / speaker / single speaker / Word Position Word Identity Speaker / /

Product

Pentax K-x Digital Camera / B-3001 Leuven / /

Technology

SPEECH RECOGNITION / forward-backward algorithm / DTW algorithm / /

SocialTag