• DocumentCode
    714172
  • Title

    Spectral emotion profile

  • Author

    Fewzee, Pouria ; Karray, Fakhri

  • Author_Institution
    Fac. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2015
  • fDate
    3-6 May 2015
  • Firstpage
    1213
  • Lastpage
    1217
  • Abstract
    Proposed in this work is the notion of spectral emotion profile. The purpose of spectral emotion profile is to highlight the spectral differences of individuals in expressing emotions, and to make use of those differences towards personalizing recognition of emotions in speech. To define spectral emotion profile, we have taken advantage of the spectral energy distribution as a set of speech features. To demonstrate the idea in a more sensible way, we have made use of two emotional speech datasets. Results of our experimental study based on the proposed notion of spectral emotion profile show how different spectral intervals of individual speakers, as well as those of different genders, vary in the amount to which they contribute to the expression of emotions. It is also shown that using spectral emotion profile results in higher prediction accuracy.
  • Keywords
    emotion recognition; speaker recognition; spectral analysis; emotion recognition; emotional speech datasets; spectral emotion profile; spectral energy distribution; speech features; speech recognition; Databases; Emotion recognition; Feature extraction; Predictive models; Speech; Speech recognition; Visualization; Emotional Speech; Personalization; Spectral Analysis; Speech Features; Variable Selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
  • Conference_Location
    Halifax, NS
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-5827-6
  • Type

    conf

  • DOI
    10.1109/CCECE.2015.7129450
  • Filename
    7129450