• DocumentCode
    1948030
  • Title

    Music emotional design by evolutionary algorithms

  • Author

    Kejun, Zhang ; Shouqian, Sun

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    17-19 Nov. 2010
  • Firstpage
    785
  • Lastpage
    788
  • Abstract
    Music emotional design has been studied for many years, and there has been a growing interest in analyzing and design emotion in music by the evolutionary algorithms. Therefore, it´s necessary to organize and categorize representative literature. The study presents an exhaustive survey of studies on one or more aspects of music emotional design by the evolutionary algorithms. In doing so, a classification of the literature based on the goal of what the studies want to achieve is developed. Such a classification not only highlights the significant results and unifies existing work, but also provides a foundation for future research in Music Emotional Design by the evolutionary algorithms.
  • Keywords
    emotion recognition; evolutionary computation; music; evolutionary algorithms; music emotion recognition; music emotional design; Algorithm design and analysis; Classification algorithms; Emotion recognition; Evolutionary algorithms; Music emotion recognition; Music emotional design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design & Conceptual Design (CAIDCD), 2010 IEEE 11th International Conference on
  • Conference_Location
    Yiwu
  • Print_ISBN
    978-1-4244-7973-3
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2010.5681231
  • Filename
    5681231