• DocumentCode
    356076
  • Title

    Neural network approach to speech pathology

  • Author

    Salvatore, Anthony P. ; Thome, Nicolas ; Gorss, C.M. ; Cannito, Michael P.

  • Author_Institution
    Dept. of Health Sci., Texas Univ., El Paso, TX, USA
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    439
  • Abstract
    A speech problem can be caused by different reasons, from psychological to organic. The existing diagnostic of speech pathologies relies on skilled doctors who can often diagnose by simply listening to the patient. We show that neural networks can simulate this ability and thus provide an automated (preliminary) diagnosis
  • Keywords
    medical diagnostic computing; neural nets; patient diagnosis; speech; automated preliminary diagnosis; neural networks; speech pathology; speech problems; Humans; Length measurement; Motor drives; Natural languages; Neural networks; Pathology; Psychology; Speech; Testing; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1999. 42nd Midwest Symposium on
  • Conference_Location
    Las Cruces, NM
  • Print_ISBN
    0-7803-5491-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1999.867299
  • Filename
    867299
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=356076