• DocumentCode
    3483253
  • Title

    Neural Nets for Speech Recognition Advantages And Limitations

  • Author

    Botros, N.

  • Author_Institution
    Southern Illinois University
  • fYear
    1991
  • fDate
    16-18 April 1991
  • Firstpage
    476
  • Lastpage
    481
  • Abstract
    This paper reviews briefly two major pattern recognition algorithms for automatic speech recognition. The first algorithm is based on traditional classifiers such as the nearest neighbor. The second one is based on implementing artificial neural network models. A brief discussion of the limitations of each of the algorithms is presented.
  • Keywords
    Algorithm design and analysis; Artificial neural networks; Equations; Frequency; Mean square error methods; Neural networks; Pattern matching; Pattern recognition; Speech analysis; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro International, 1991
  • Conference_Location
    New York, NY, USA
  • Type

    conf

  • DOI
    10.1109/ELECTR.1991.718258
  • Filename
    718258
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3483253