LECTURE 23: PARAMETER ESTIMATION

• Objectives:
  
  
  • Review the components of a hidden Markov model
    
    
  • Forward probability calculation
    
    
  • The Viterbi algorithm
    
    
  • The Expectation Maximization (EM) algorithm
    
    
  • Understand the use of these techniques in HMM training and decoding

This lecture combines 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 information found in most standard speech textbooks:

J. Deller, et. al., Discrete-Time Processing of Speech Signals, MacMillan Publishing Co., ISBN: 0-7803-5386-2, 2000.