• DocumentCode
    136004
  • Title

    Recognition of pathological voices

  • Author

    Salma, Chekili ; Asma, Belhaj ; Aicha, Bouzid ; Noureddine, Ellouze

  • Author_Institution
    Lab. de Signal, Images et Technol. de l´Inf., Univ. Tunis el Manar, Tunis, Tunisia
  • fYear
    2014
  • fDate
    11-14 Feb. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we are interested in recognizing normal and pathological voices using the classification method SVM. In This classification we add to the feature vector composed of MFCC coefficients, delta, delta second, Energy, fundamental frequency, a new parameter called the open quotient. The open quotient is defined as the ratio of the open phase by the mean pitch period. This parameter is calculated using the multiscale product method (MPM). SVM classification is then applied on the Kay Pentax database.
  • Keywords
    feature extraction; speech recognition; support vector machines; Kay Pentax database; SVM; feature vector; mean pitch period; multiscale product method; open phase; open quotient; pathological voices recognition; Databases; Mel frequency cepstral coefficient; Pathology; MFCC; Open quotient; SVM; pathological voices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multi-Conference on Systems, Signals & Devices (SSD), 2014 11th International
  • Conference_Location
    Barcelona
  • Type

    conf

  • DOI
    10.1109/SSD.2014.6808900
  • Filename
    6808900