LECTURE 39: ADAPTATION

• Objectives:
  
  
  • Maximum a posteriori estimation
    
    
  • Maximum likelihood linear regression
    
    
  • Comparison in performance

This lecture draws on material from the course textbook:

X. Huang, A. Acero, and H.W. Hon, Spoken Language Processing - A Guide to Theory, Algorithm, and System Development, Prentice Hall, Upper Saddle River, New Jersey, USA, ISBN: 0-13-022616-5, 2001.

and this presentation/paper:

J. Hamaker, "A Speaker Adaptation Techniques for LVCSR", http://www.cavs.msstate.edu/research/isip/publications/courses/ece_7000_speech/lectures/current/lecture_10/, ECE 7000: Special Topics in Speech Recognition, Department of Electrical and Computer Engineering, Mississippi State University, Mississippi, USA, November 1999.