• DocumentCode
    2496598
  • Title

    Research on music emotion cognition model based on linguistic value computing

  • Author

    Zhu, Bin ; Liu, Tao ; Tang, Yongchuan

  • Author_Institution
    Coll. of Inf. Sci. of Technol., Zhejiang Shuren Univ., Hangzhou
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    7355
  • Lastpage
    7361
  • Abstract
    Research on musicpsilas affective computing model plays an important role in digital entertainment and harmonious human-machine interactive, and belongs to the field of artificial emotion. For modeling the music affective. There are two major insufficients in current researches such as: lack of knowledge expression and generalization. This paper presents a general model building process, and designs a cognizing test based on semantic difference for Chinese folk music. According to the studying about the data of experiment and relied on the GEP based on dynamic mutation operator, a model tally with the linguistic modeling theory is constructed, which is consistent with psychological consistent pattern of music emotion.
  • Keywords
    emotion recognition; linguistics; man-machine systems; music; affective computing; artificial emotion; digital entertainment; harmonious human-machine interactive; linguistic value computing; music emotion cognition; Automation; Buildings; Cognition; Computer science; Educational institutions; Gene expression; Information science; Intelligent control; Man machine systems; Support vector machines; Gene Expression Programming; linguistic value computing; music emotional vector; semantic difference method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594063
  • Filename
    4594063