Refereed full papers (journals, book chapters, international conferences)

1986

@article{RaJ1986,
	vgclass =	{refpap},
	author =	{L. R. Rabiner and B. H. Juang},
	title =	{An Introduction to Hidden {M}arkov Models},
	journal =	{IEEE ASSP Magazine},
	pages =	{4--16},
	month =	{January},
	year =	{1986},
	abstract =	{The basic theory of Markov chains has been known to
	mathematicians and engineers for close to 80 years, but it is only in
	the past decade that it has been applied explicitly to problems in
	speech processing. One of the major reasons why speech models, based on
	Markov chains, have not been developed until recently was the lack of a
	method for optimizing the parameters of the Markov model to match
	observed signal patterns. Such a method was proposed in the late 1960's
	and was immediately applied to speech processing in several research
	institutions. Continued refinements in the theory and implementation of
	Markov modelling techniques have greatly enhanced the method, leading
	to a wide range of applications of these models. It is the purpose of
	this tutorial paper to give an introduction to the theory of Markov
	models, and to illustrate how they have been applied to problems in
	speech recognition.},
}