• DocumentCode
    943336
  • Title

    Automatic determination of tone period and evaluation of dysphony in pathological voices

  • Author

    Feij¿¿o, S. ; Hern¿¿ndez, C.

  • Author_Institution
    University of Santiago, Department of Electronics, Faculty of Physics, Santiago de Compostela, Spain
  • Volume
    133
  • Issue
    2
  • fYear
    1986
  • fDate
    3/1/1986 12:00:00 AM
  • Firstpage
    99
  • Abstract
    The hoarseness of 28 subjects with laryngeal complaints of widely differing severity has been automatically evaluated by using the simple Chebychev norm to compare a 3-component vector representing the subject´s voice with a normal template. A second procedure used the absolute values of the parameters without comparison with a standard. The three components of the characteristic vectors were extracted from recorded utterances of the Spanish vowel `a¿¿, for which it was necessary to determine the approximate tone period of the signals. Two methods of pitch extraction were used, one based on the autocorrelation function and the other on a SIFT algorithm.
  • Keywords
    computerised signal processing; medical diagnostic computing; speech; Chebychev norm; SIFT algorithm; Spanish vowel; autocorrelation function; computerised signal processing; dysphony; hoarseness; laryngeal; larynx; medical diagnostic computing; pathological voices; pitch extraction; speech; tone period;
  • fLanguage
    English
  • Journal_Title
    Physical Science, Measurement and Instrumentation, Management and Education - Reviews, IEE Proceedings A
  • Publisher
    iet
  • ISSN
    0143-702X
  • Type

    jour

  • DOI
    10.1049/ip-a-1.1986.0016
  • Filename
    4647788