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)


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.


Hide Markov Model Speech Recognition Automatic Speech Recognition Dynamic Time Warping Forward Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media New York 1989

Authors and Affiliations

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

Personalised recommendations