Hidden Markov Models for Speech Recognition

Hidden Markov Models for Speech Recognition

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EDITS is a series of academic monographs covering a range of subjects in information technology. Published titles include works on machine translation and computational linguistics, while forthcoming volumes will cover VLSI design and the social dynamics for the growth of artificial intelligence. Written for researchers, practitioners and students, this book describes the latest theories, technologies and applications of the hidden Markov models. It introduces the necessary mathematic background needed for an understanding of the modelling and offers practical guidance for the use of both fundamental and advanced Markov models. This book is aimed at postgraduate students, scientists and engineers in speech recognition, artificial intelligence, pattern recognition, electrical engineering and computer science.
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Product details

  • Hardback | 272 pages
  • 132.08 x 210.82 x 25.4mm | 498.95g
  • Edinburgh, United Kingdom
  • English
  • 0748601627
  • 9780748601622

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Table of contents

Vector quantisation and mixture densities; hidden Markov models and basic algorithms; continuous hidden Markov models; unified theory with semi-continuous models; using hidden Markov models for speech recognition; experimental examples.
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