Theses most similar to those of author Yu, Gregory T

Efficient error correction for speech systems using constrained re-recognition (2008) read it

Towards multi-domain speech understanding with flexible and dynamic vocabulary

Chung, Grace Yuet-Chee (2001)

  • Advisor: Stephanie Seneff
  • Department of Electrical Engineering and Computer Science
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Translingual grammar induction for conversational systems

Lee, John Sie Yuen, 1977- (2004)

  • Advisor: Stephanie Seneff
  • Department of Electrical Engineering and Computer Science
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Modelling out-of-vocabulary words for robust speech recognition

Bazzi, Issam (2002)

  • Advisor: James Glass
  • Department of Electrical Engineering and Computer Science
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Automatic acquisition of language models for speech recognition

McCandless, Michael Kyle (1994)

  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
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The identification and function of English prosodic features

Breen, Mara E (2007)

  • Advisor: Edward A. F. Gibson
  • Department of Brain and Cognitive Sciences
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Linguistically-motivated sub-word modeling with applications to speech recognition

Choueiter, Ghinwa F., 1980- (2008)

  • Advisors: Dr. James R. Glass; Stephanie Seneff
  • Department of Electrical Engineering and Computer Science
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Characterizing and recognizing spoken corrections in human-computer dialog

Levow, Gina-Anne (1998)

  • Advisor: Berwick, Robert Cregar
  • Department of Electrical Engineering and Computer Science
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Rule based learning of word pronunciations from training corpora

Molnár, Lajos, 1975- (1998)

  • Advisor: Christopher M. Schmandt
  • Department of Electrical Engineering and Computer Science
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SpeechBuilder : facilitating spoken dialogue system development

Weinstein, Eugene, 1979- (2001)

  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
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LIESHOU : a Mandarin conversational task agent for the Galaxy-II Architecture

Chuu, Chian, 1980- (2003)

  • Advisor: Stephanie Seneff
  • Department of Electrical Engineering and Computer Science
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