IDEAS home Printed from https://ideas.repec.org/a/alg/jijdte/v1y2016i1p53-74.html
   My bibliography  Save this article

Metodologija estimacije emocionalnih stanja na temelju akustickih znacajki govora

Author

Listed:
  • Branimir Dropuljic

    (IN2data Ltd.)

  • Sandro Skansi

    (IN2data Ltd.)

  • Leo Mrsic

    (IN2data Ltd.)

Abstract

U novije vrijeme se sve veca paznja posvecuje problematici racunalne estimacije emocionalnog stanja iz covjekovog glasa, prvenstveno u kontekstu razvoja sustava za inteligentnu interakciju izmedju covjeka i racunala. U radu je opisana metodologija estimacije po koracima: izvlacenje akustickih znacajki emocionalnog govora, redukcija prostora znacajki te estimacija emocionalnih stanja na temelju neke od metoda strojnog ucenja. Emocije se tipicno reprezentiraju kao diskretna stanja, poput srece, ljutnje, straha ili gadjenja, ili kao dimenzije, najcesce kao razine ugode i pobudjenosti. Pritom se za raspoznavanje diskretnih emocija koriste klasifikacijske metode, a za estimaciju dimenzijskih velicina emocija regresijske. U radu je dan pregled state-of-the-art akustickih znacajki za prepoznavanje emocija te su prikazani rezultati relevantnih radova na ovom podrucju.

Suggested Citation

  • Branimir Dropuljic & Sandro Skansi & Leo Mrsic, 2016. "Metodologija estimacije emocionalnih stanja na temelju akustickih znacajki govora," International Journal of Digital Technology and Economy, Algebra University College, vol. 1(1), pages 53-74, June.
    • Handle: RePEc:alg:jijdte:v:1:y:2016:i:1:p:53-74
    as

    Download full text from publisher

    File URL: http://algebra.hr/publications//ijdte/vol1_iss1/IJDTE_01_01_2016_P6.pdf
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:alg:jijdte:v:1:y:2016:i:1:p:53-74. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Robert Kopal (email available below). General contact details of provider: https://algebra.university/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.