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Spoken Language Generation and Understanding pp 129–145Cite as

Pattern Recognition Techniques for Speech Recognition

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Part of the book series: NATO Advanced Study Institutes Series ((ASIC,volume 59))

Abstract

This is an overview of techniques which have been developed for automatic pattern recognition, with an indication of their relevance to automatic speech recognition. The first part is concerned with data transformations, distance measures, cluster analysis and other aspects of what could be called ‘classic’ mathematical pattern recognition. The second part is more directly concerned with speech, and the term ‘pattern recognition’ is used to denote an approach to speech recognition which tries to avoid the problems of using a phoneme level of description and treats larger units such as words as patterns with a time axis.

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Author information

Authors and Affiliations

  1. Joint Speech Research Unit, Princess Elizabeth Way, Cheltenham, Gloucestershire, England, GL52 5AJ

    J. S. Bridle

Authors
  1. J. S. Bridle
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Editor information

Editors and Affiliations

  1. Institut de Programmation, Université Pierre et Marie Curie, Paris VI, France

    J. C. Simon

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© 1980 D. Reidel Publishing Company

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Bridle, J.S. (1980). Pattern Recognition Techniques for Speech Recognition. In: Simon, J.C. (eds) Spoken Language Generation and Understanding. NATO Advanced Study Institutes Series, vol 59. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-9091-3_7

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  • DOI: https://doi.org/10.1007/978-94-009-9091-3_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-009-9093-7

  • Online ISBN: 978-94-009-9091-3

  • eBook Packages: Springer Book Archive

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