• DocumentCode
    274176
  • Title

    Using a connectionist network to eliminate redundancy from a phonetic lattice in a speech recognition system

  • Author

    Caharel, M.H. ; Miclet, L.

  • Author_Institution
    CNET, Lannion, France
  • fYear
    1989
  • fDate
    16-18 Oct 1989
  • Firstpage
    301
  • Lastpage
    305
  • Abstract
    In the Keal System (see G. Mercier, IEE Proceeding, vol.136, no.2 (1989)), as in most analytical speech recognition systems, the speech signal is processed in a bottom-up sequence of steps. In Keal, these steps are: acoustic-phonetic decoding, lexical analysis, and syntactic and semantic analysis. The purpose of this study is to simplify the result of the first module, namely the phonetic lattice, by removing its internal redundancy. This is achieved by using a connectionist network as a `filter´ in order to transform the lattice into a string. The task of the lexical decoder is simplified
  • Keywords
    decoding; filtering and prediction theory; neural nets; speech analysis and processing; speech recognition; Keal System; connectionist network; lexical decoder; multilayer perceptrons; neural nets; phonetic lattice; redundancy; speech recognition; string;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, 1989., First IEE International Conference on (Conf. Publ. No. 313)
  • Conference_Location
    London
  • Type

    conf

  • Filename
    51980