Markov Models and Hidden Markov Models: A Brief Tutorial

TitleMarkov Models and Hidden Markov Models: A Brief Tutorial
Publication TypeTechnical Report
Year of Publication1998
AuthorsFosler-Lussier, E.
Other Numbers1156
Abstract

This tutorial gives a gentle introduction to Markov models and Hidden Markov models as mathematical abstractions, and relates them to their use in automatic speech recognition. This material was developed for the Fall 1995 semester of CS188: Introduction to Artificial Intelligence at the University of California, Berkeley. It is targeted for introductory AI courses; basic knowledge of probability theory (e.g. Bayes' Rule) is assumed. This version is slightly updated from the original, including a few minor error corrections, a short "Further Reading" section, and exercises that were given as a homework in the Fall 1995 class.

URLhttp://www.icsi.berkeley.edu/ftp/global/pub/techreports/1998/tr-98-041.pdf
Bibliographic Notes

ICSI Technical Report TR-98-041

Abbreviated Authors

E. Fosler-Lussier

ICSI Research Group

Speech

ICSI Publication Type

Technical Report