• DocumentCode
    2290501
  • Title

    Analysis of Voice Pathology Evolution Using Entropy Rate

  • Author

    Scalassara, Paulo Rogério ; Dajer, María Eugenia ; Marrara, Jamille Lays ; Maciel, Carlos Dias ; Pereira, José Carlos

  • Author_Institution
    Sch. of Eng. of Sao Carlos, Univ. of Sao Paulo, Sao Carlos
  • fYear
    2008
  • fDate
    15-17 Dec. 2008
  • Firstpage
    580
  • Lastpage
    585
  • Abstract
    In the last years the use of voice acoustical analysis has increased much. Also, other techniques are being applied, such as nonlinear methods and comparison of quantities obtained from information theory. The latter is the case of this paper, we analyze characteristics of the entropy rate curve and its asymptote to acquire knowledge about the evolution of pathological voice signals. Specifically signals from patients with nodule in the vocal folds. The analysis provided some differences between nodule and healthy signals that may be related to the level of evolution of the pathology.
  • Keywords
    acoustic signal processing; entropy; medical signal processing; speech processing; entropy rate curve; healthy signal; nodule signal; pathological voice signal; patient; vocal folds; voice acoustical analysis; voice pathology evolution; Acoustical engineering; Entropy; Humans; Information theory; Jitter; Larynx; Pathology; Signal analysis; Space technology; Speech analysis; Entropy rate; nodule; pathology; voice;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia, 2008. ISM 2008. Tenth IEEE International Symposium on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-0-7695-3454-1
  • Electronic_ISBN
    978-0-7695-3454-1
  • Type

    conf

  • DOI
    10.1109/ISM.2008.66
  • Filename
    4741230