Corey Kereliuk, February 1, 2007

Assignment #3 - Hidden Markov Models

Link to presentation: pdf

Link to HMM summary: pdf

Annotated Bibliography

L.R. Rabiner, and B.H. Juang. 1986. An introduction to hidden markov models. IEEE ASSP Magazine. 3(1):4-16.

This is a nice introductory article on Hidden Markov Models (HMMs). It describes the basic terminology, and the 3 canonical problems that HMMs are used to solve. The authors discuss issues related to the computational complexity of some of the algorithms. A few examples are given to illustrate the concepts. The problem of model training is given little attention

L. R. Rabiner. 1989. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE 77(2): 257-85.

This paper is quite similar to the one listed above. It re-uses much of the same information, in a tutorial format. More examples are given, and the problem of model training is covered in more depth. The application of speech recognition is highlighted through out.

University of Leeds. 2007. Hidden Markov Model Introduction. [cited. Available from]

This web-page gives an indepth tutorial of HMM models. The examples used are intuitive and easy to understand. The authors use several diagrams, and a Java applet to illustrate the concepts.