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

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A tutorial on hidden Markov models and selected applications in speech recognition (1989)

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by Lawrence R. Rabiner

Venue:	PROCEEDINGS OF THE IEEE
Citations:	5879 - 1 self

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@INPROCEEDINGS{Rabiner89atutorial,
    author = {Lawrence R. Rabiner},
    title = {A tutorial on hidden Markov models and selected applications in speech recognition},
    booktitle = {PROCEEDINGS OF THE IEEE},
    year = {1989},
    pages = {257--286},
    publisher = {}
}

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Abstract

Although initially introduced and studied in the late 1960s and early 1970s, statistical methods of Markov source or hidden Markov modeling have become increasingly popular in the last several years. There are two strong reasons why this has occurred. First the models are very rich in mathematical structure and hence can form the theoretical basis for use in a wide range of applications. Sec-ond the models, when applied properly, work very well in practice for several important applications. In this paper we attempt to care-fully and methodically review the theoretical aspects of this type of statistical modeling and show how they have been applied to selected problems in machine recognition of speech.

Keyphrases

speech recognition hidden markov model late 1960s machine recognition several important application markov source theoretical basis statistical method strong reason statistical modeling theoretical aspect wide range mathematical structure last several year hidden markov modeling

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