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Expectation-Based Speech Recognition

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Recent Advances in Speech Understanding and Dialog Systems

Part of the book series: NATO ASI Series ((NATO ASI F,volume 46))

Abstract

Expectation-based speech recognition is a knowledge-based approach to recognize continously spoken German speech. The knowledge base mainly consists of a large comprehensive lexicon providing various informations about each word of the registered vocabulary. During the recognition process numerous weighted hypotheses are generated that enter into competition with each other. To succeed in recognition the task is to keep the number of alternative hypotheses low by making good choices among all alternatives. The S*-algorithm performs an optimal search strategy regarding phrase hypotheses and using the information given by categorial search trees.

This work was supported by the Deutsche Forschungsgemeinschaft (DFG)

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References

  1. ERMAN, L.D., LESSER, V.R.: The HEARSAY-II Speech Understanding System: A Tutorial. In: Lea, W.A. (ed.): Trends in Speech Recognition. Prentice-Hall, Englewood Cliffs, 1980

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  4. MUDLER, J.: Erwartungsorientierte Spracherkennung. Dissertation, Technische Universität Braunschweig, 1987

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Author information

Authors and Affiliations

  1. Institut für Nachrichtentechnik, TU Braunschweig, Schleinitzstr. 23, D-3300, Braunschweig, F.R. Germany

    J. Mudler & E. Paulus

Authors
  1. J. Mudler
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  2. E. Paulus
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Editor information

Editors and Affiliations

  1. Universität Erlangen-Nürnberg, Martensstr. 3, D-8520, Erlangen, Germany

    H. Niemann  & G. Sagerer  & 

  2. ZT ZTI SYS 5, Siemens AG, Otto-Hahn-Ring 6, D-8000, München 83, Germany

    M. Lang

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© 1988 Springer-Verlag Berlin Heidelberg

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Mudler, J., Paulus, E. (1988). Expectation-Based Speech Recognition. In: Niemann, H., Lang, M., Sagerer, G. (eds) Recent Advances in Speech Understanding and Dialog Systems. NATO ASI Series, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83476-9_43

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  • DOI: https://doi.org/10.1007/978-3-642-83476-9_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83478-3

  • Online ISBN: 978-3-642-83476-9

  • eBook Packages: Springer Book Archive

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