## 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 http://www.comp.leeds.ac.uk/roger/HiddenMarkovModels/html_dev/main.html]

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. |