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Robust Speech Recognition

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Computational Models of Speech Pattern Processing

Part of the book series: NATO ASI Series ((NATO ASI F,volume 169))

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Summary

This paper overviews the main technologies that have recently been developed for making speech recognition systems more robust against acoustic variations. These technologies are reviewed from the viewpoint of a stochastic pattern matching paradigm for speech recognition. Improved robustness enables better speech recognition over a wide range of unexpected and adverse conditions by reducing mismatches between training and testing speech utterances.

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Authors and Affiliations

  1. Department of Computer Science, Tokyo Institute of Technology, 2-12-1, Ookayama, Meguro-ku, Tokyo, 152, Japan

    Sadaoki Furui

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  1. Sadaoki Furui
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Editor information

Editors and Affiliations

  1. Speech Research Unit, DERA Malvern, St. Andrew’s Road, WR14 4DT, Great Malvern, Worcs, UK

    Keith Ponting

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© 1999 Springer-Verlag Berlin Heidelberg

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Furui, S. (1999). Robust Speech Recognition. In: Ponting, K. (eds) Computational Models of Speech Pattern Processing. NATO ASI Series, vol 169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60087-6_11

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  • DOI: https://doi.org/10.1007/978-3-642-60087-6_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-64250-0

  • Online ISBN: 978-3-642-60087-6

  • eBook Packages: Springer Book Archive

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