Theses most similar to those of author Chang, Jane W. (Jane Wen), 1970-

Speech recognition system robustness to microphone variations (1995) read it

  • Advisors: Darrell, Trevor; James Glass
  • Department of Electrical Engineering and Computer Science
  • Advisor: Marc A. Zissman
  • Department of Electrical Engineering and Computer Science
  • Advisors:
  • Department of Electrical Engineering and Computer Science
  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
  • Advisors: Dr. James R. Glass; Karen Livescu
  • Department of Electrical Engineering and Computer Science
  • Advisor: Christopher Schmandt
  • Department of Electrical Engineering and Computer Science
  • Advisor: Victor W. Zue
  • Department of Electrical Engineering and Computer Science
  • Advisor: Michael J. Collins
  • Department of Electrical Engineering and Computer Science
  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science

Near-miss modeling : a segment-based approach to speech recognition (1998) read it

  • Advisor: Deb Roy
  • Department of Electrical Engineering and Computer Science
  • Advisors: Stephanie Seneff; Victor W. Zue
  • Department of Electrical Engineering and Computer Science
  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
  • Advisor: Stephanie Seneff
  • Department of Electrical Engineering and Computer Science
  • Advisor: Stephanie Seneff
  • Department of Electrical Engineering and Computer Science
  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
  • Advisor: Stephanie Seneff
  • Department of Electrical Engineering and Computer Science
  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science