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Channel Adaptation

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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

Any mismatch between training and test conditions can cause difficulty for current automatic speech recognition systems. In recent years many approaches have been proposed for resolving this mismatch problem. These approaches can be divided broadly into three classes: model adaptation, channel adaptation and robust features. This paper presents a review and discussion of methods for channel adaptation and their relationship to methods in the other classes.

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Authors and Affiliations

  1. Speech Research Unit, DERA Malvern, St. Andrew’s Road, Great Malvern, Worcs, WR14 3PS, UK

    Keith M. Ponting

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  1. Keith M. Ponting
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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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Ponting, K.M. (1999). Channel Adaptation. 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_12

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  • DOI: https://doi.org/10.1007/978-3-642-60087-6_12

  • 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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