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Current Problems in Automatic Speech Recognition

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Pattern Recognition

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Abstract

Automatic speech recognition may be defined as any process which decodes the acoustic signal produced by the human voice into a sequence of linguistic units which contain the message that the speaker wishes to convey. At one extreme this includes the “phonetic typewriter,” a hypothetical device which types any words spoken into it, and at the other, “speech understanding systems” which extract the intended meaning from the sounds and carry out some appropriate action such as replying to a question or controlling a robot. During the last two decades the emphasis in research in automatic speech recognition has gradually shifted from the former type of device to the latter.

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Author information

Authors and Affiliations

  1. Department of Communication, University of Keele, Keele, Staffordshire, England

    W. A. Ainsworth

  2. Department of Computing, North Staffordshire Polytechnic, Stafford, England

    P. D. Green

Authors
  1. W. A. Ainsworth
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  2. P. D. Green
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Editor information

Editors and Affiliations

  1. University of Southampton, England

    Bruce G. Batchelor

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© 1978 Plenum Press, New York

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Ainsworth, W.A., Green, P.D. (1978). Current Problems in Automatic Speech Recognition. In: Batchelor, B.G. (eds) Pattern Recognition. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-4154-3_14

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  • DOI: https://doi.org/10.1007/978-1-4613-4154-3_14

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-4156-7

  • Online ISBN: 978-1-4613-4154-3

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