Theses most similar to Portability of a class-based backoff language model (Chang, Angel Xuan, 1977-; 2000) read it

Subword-based approaches for spoken document retrieval

Ng, Kenney, 1967- (2000)

  • Advisor: Victor W. Zue
  • Department of Electrical Engineering and Computer Science
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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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Language Modeling for limited-data domains

Hsu, Bo-June (Bo-June Paul) (2009)

  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
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Using graphone models in automatic speech recognition

Wang, Stanley Xinlei (2009)

  • Advisors: Dr. James R. Glass; I. Lee Hetherington
  • Department of Electrical Engineering and Computer Science
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Pronunciation learning for automatic speech recognition

Badr, Ibrahim (2011)

  • Advisor: James Glass
  • Department of Electrical Engineering and Computer Science
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Unsupervised speech processing with applications to query-by-example spoken term detection

Zhang, Yaodon (2013)

  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
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Ranking techniques for keyphrase extraction

Field, David, M. Eng. (David M.) (2014)

  • Advisor: Regina Barzilay
  • Department of Electrical Engineering and Computer Science
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Multilingual techniques for low resource automatic speech recognition

Chuangsuwanich, Ekapol (2016)

  • Advisor: James Glass
  • Department of Electrical Engineering and Computer Science
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Deep unsupervised learning from speech

Drexler, Jennifer Fox (2016)

  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
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Overcoming resource limitations in the processing of unlimited speech : applications to speaker and language recognition

Shum, Stephen (Stephen Hin-Chung) (2016)

  • Advisors: Dr. James R. Glass; Najim Dehak
  • Department of Electrical Engineering and Computer Science
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