• DocumentCode
    2432351
  • Title

    Real time neural networks. III. Alternative neural networks for speech applications

  • Author

    Tatman, Günhan ; Jannarone, R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., South Carolina Univ., Columbia, SC, USA
  • fYear
    1991
  • fDate
    10-12 Mar 1991
  • Firstpage
    591
  • Lastpage
    596
  • Abstract
    For pt.II, see ibid., p.584-90 (1991). Waibel Sawai and Shikano (1989), have successfully used traditional neural networks (TNNs), in conjunction with a certain time-delay framework, to recognize phonemes in spoken Japanese syllables. In this paper, the authors first describe Waibel et. al.´s time delay neural network model. They then make several modifications to that model and indicate how procedures can be developed to automatically identify key variables and their cross products, within the structured conjunctoid neural net framework rather than the nonparametric TNN framework,
  • Keywords
    neural nets; speech recognition; conjunctoid neural net; speech recognition; spoken Japanese syllables; time delay neural network model; traditional neural networks; Data mining; Delay effects; Equations; Fires; Logic devices; Logistics; Neural networks; Neurons; Speech; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1991. Proceedings., Twenty-Third Southeastern Symposium on
  • Conference_Location
    Columbia, SC
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-2190-7
  • Type

    conf

  • DOI
    10.1109/SSST.1991.138636
  • Filename
    138636