A tutorial on hidden Markov models and selected applications in speech recognition

Volume: 77, Issue: 2, Pages: 267 - 296
Published: Feb 1, 1989
Abstract
This tutorial provides an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and gives practical details on methods of implementation of the theory along with a description of selected applications of the theory to distinct problems in speech recognition. Results from a number of original sources are combined to provide a single source of acquiring the background required to pursue further...
Paper Details
Title
A tutorial on hidden Markov models and selected applications in speech recognition
Published Date
Feb 1, 1989
Volume
77
Issue
2
Pages
267 - 296
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