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A 20,000 word automatic speech recognizer

Adaptation to French of the US TANGORA system

  • Conference paper
Speech Recognition and Understanding

Part of the book series: NATO ASI Series ((NATO ASI F,volume 75))

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Abstract

In this article we describe the adaptation to the French language of the Tangora system, developed by the IBM Yorktown Speech Group for American English. This work is a continuation of the activity of our group which developed the PARSYFAL system [1], a 200,000 word speaker-dependent syllable based dictation system which word recognition accuracy is about 90%. The French Tangora system uses exactly the same hardware as its US counterpart. It is a single box autonomous system running on an IBM PC AT machine with 4 signal processing cards (Albert) and an INTEL 80386 processor [2]. It handles a vocabulary of 20,000 words and is designed to take down dictated press agency dispatches. The dictation and training are done in isolated word mode.

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Author information

Authors and Affiliations

  1. IBM France Scientific Center, 5 Place Vendôme, 75001, Paris, France

    H. Cerf-Danon, P. de La Noue, L. Diringer, M. El-Beze & J. C. Marcadet

Authors
  1. H. Cerf-Danon
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  2. P. de La Noue
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  3. L. Diringer
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  4. M. El-Beze
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  5. J. C. Marcadet
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Editor information

Editors and Affiliations

  1. Dipartimento di Automatica e Informatica, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy

    Pietro Laface

  2. School of Computer Science, 3480 University St., Montreal, Quebec, H3A 2A7, Canada

    Renato De Mori

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© 1992 Springer-Verlag Berlin Heidelberg

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Cerf-Danon, H., de La Noue, P., Diringer, L., El-Beze, M., Marcadet, J.C. (1992). A 20,000 word automatic speech recognizer. In: Laface, P., De Mori, R. (eds) Speech Recognition and Understanding. NATO ASI Series, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76626-8_3

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  • DOI: https://doi.org/10.1007/978-3-642-76626-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-76628-2

  • Online ISBN: 978-3-642-76626-8

  • eBook Packages: Springer Book Archive

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