• DocumentCode
    3353813
  • Title

    Evalutation of Performance of KNN, MLP and RBF Classifiers in Emotion Detection Problem

  • Author

    Polat, Gökhan ; Altun, Halis

  • Author_Institution
    Elektrik -Elektronik Muhendisi, Nigde Univ. Yuksek Lisans Ogrencisi, Nigde, Turkey
  • fYear
    2007
  • fDate
    11-13 June 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Emotion detection has gained increasing attention and become an active research area. The problem is solved with improved feature set with different number of feature groups, by employing different classifiers in order to achieve satisfactory recognition rate. In this study, speech related features are employed to evaluate the performance of different classifiers in emotion detection problem.
  • Keywords
    emotion recognition; pattern classification; KNN classifier; MLP classifier; RBF classifiers; emotion detection; Hidden Markov models; Linear discriminant analysis; Linear predictive coding; Mel frequency cepstral coefficient; Performance evaluation; Speech analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
  • Conference_Location
    Eskisehir
  • Print_ISBN
    1-4244-0719-2
  • Electronic_ISBN
    1-4244-0720-6
  • Type

    conf

  • DOI
    10.1109/SIU.2007.4298581
  • Filename
    4298581
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3353813