• DocumentCode
    2832767
  • Title

    Comparison of Hanson Intervallic Representations for Music Information Retrieval

  • Author

    Serrano, Johnny F. ; Inesta, José M.

  • Author_Institution
    Departamento de Lenguajes y Sistemas Informaticos, Univ. de Alicante
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    147
  • Lastpage
    153
  • Abstract
    The melodic similarity is an important concept to consider in music information retrieval. Among the possible applications a number of content-based systems may be developed for copyright management, plagiarism detection, computer-aided composition, etc., and the intervallic analysis is an essential tool for these applications. There exist several techniques exposed in melodic similarity that use diverse statistical and probabilistic analysis. The objective in this work is to establish a text words equivalent to musical notation using three representations based on simple intervallic relationships, rhythmics and durations, and to evaluate a textual information retrieval technique applied to these representations, as well as to propose changes to improve the system precision and recall
  • Keywords
    content-based retrieval; information retrieval; music; Hanson intervallic representations; content-based systems; melodic similarity; music information retrieval; Application software; Content management; Data mining; Encoding; Entropy; Hidden Markov models; Information analysis; Music information retrieval; Pattern analysis; Plagiarism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, 2006. CIC '06. 15th International Conference on
  • Conference_Location
    Mexico City
  • Print_ISBN
    0-7695-2708-6
  • Type

    conf

  • DOI
    10.1109/CIC.2006.31
  • Filename
    4023802