• DocumentCode
    2039214
  • Title

    Melody classification using EM algorithm

  • Author

    Yoshihara, Yukiteru ; Miura, Takao

  • Author_Institution
    Dept.of Electr. & Electron. Eng., Hosei Univ., Tokyo, Japan
  • Volume
    1
  • fYear
    2005
  • fDate
    26-28 July 2005
  • Firstpage
    204
  • Abstract
    In this investigation we propose a novel technique to classify melodies by using EM algorithm. Here we generate classifiers based on naive Bayesian technique during FM steps. And we discuss the experimental results with several features of melodies and show we can get efficient classifiers by our approach.
  • Keywords
    Bayes methods; feature extraction; music; pattern classification; signal classification; EM algorithm; melody classification; melody features; naive Bayes; naive Bayesian technique; Application software; Classification algorithms; Computer applications; Software algorithms; EM Algorithm; Melody Classification; Melody Features; Naive Bayes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 2005. COMPSAC 2005. 29th Annual International
  • ISSN
    0730-3157
  • Print_ISBN
    0-7695-2413-3
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2005.98
  • Filename
    1510021
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2039214