• DocumentCode
    395113
  • Title

    Positive emotion learning through music listening

  • Author

    Milicevic, Maden

  • Author_Institution
    Loyola Marymount Univ., Los Angeles, CA, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    18-22 Nov. 2002
  • Firstpage
    125
  • Abstract
    This paper focuses on the need to design a template for an AI system that analyzes computer music and simulates the audience´s emotional reaction. This system may possibly aid computer music composers in creating pieces that are more appealing to the wider audiences. Conceptual design of the proposed system is based on the most recent findings in understanding how the human brain processes musical patterns.
  • Keywords
    adaptive systems; fuzzy systems; learning systems; music; psychology; AI system; composers; computer music; emotional reaction; music listening; musical patterns; positive emotion learning; Acoustic noise; Art; Brain modeling; Cultural differences; Drives; Entropy; Humans; Multiple signal classification; Music; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
  • Print_ISBN
    981-04-7524-1
  • Type

    conf

  • DOI
    10.1109/ICONIP.2002.1202144
  • Filename
    1202144