Hidden Markov Modeling of Speech

  • Kai-Fu Lee
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 62)

Abstract

Hidden Markov models (HMM) were first described in the classic paper by Baum [Baum 72]. Shortly afterwards, they were extended to automatic speech recognition independently at CMU [Baker 75a] and IBM [Bakis 76, Jelinek 76]. It was only in the past few years, however, that HMMs became the predominant approach to speech recognition, superseding dynamic time warping.

Keywords

Covariance Diphone 

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Copyright information

© Springer Science+Business Media New York 1989

Authors and Affiliations

  • Kai-Fu Lee
    • 1
  1. 1.Carnegie Mellon UniversityPittsburghUSA

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