• DocumentCode
    3001926
  • Title

    APHODEX, design and implementation of an acoustic-phonetic decoding expert system

  • Author

    Carbonell, Noëlle ; Damestoy, Jean-Paul ; Fohr, Dominique ; Haton, Jean-Paul ; Lonchamp, François

  • Author_Institution
    CRIN-INRIA, Vandoeuvre les Nancy cedex, France
  • Volume
    11
  • fYear
    1986
  • fDate
    31503
  • Firstpage
    1201
  • Lastpage
    1204
  • Abstract
    The acoustic-phonetic decoding of complete sentences is a major bottleneck in continuous speech recognition. Our group, who has been working in this area for the past twelve years, first developed systems based on synchronous centi-second pattern-matching. In order to improve the accuracy of present phonetic decoders, we are now developing an expert production-rule system that should emulate the competence of an experienced spectrogram reader. After a brief description of the methodology used to elucidate the expert´s knowledge and strategies, the paper explains how this expertise has been implemented ; results from the present experimental version of our system (APHODEX) are discussed. In order to increase efficiency while maintaining the same degree of accuracy, we are concurrently designing a system in which the expert´s knowledge is represented by frames. An overall description of the system, which describes the phonetic decoding process in terms of a frame language is given in the second part of this paper.
  • Keywords
    Artificial intelligence; Decoding; Expert systems; Humans; Pattern recognition; Resists; Spectrogram; Speech analysis; Speech processing; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1986.1168799
  • Filename
    1168799