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.