• DocumentCode
    1565167
  • Title

    Generic Music Identification by Hierarchic Modeling of Human Perception

  • Author

    Seifert, Frank ; Rentzsch, Michael

  • Author_Institution
    Univ. of Technol., Chemnitz
  • fYear
    2008
  • Firstpage
    10
  • Lastpage
    16
  • Abstract
    To date, there are no systems that can identify music, neither audio nor midi, in a generic way. That is, for the countless possible occurrences of a certain song, it should be possible to associate them with only one generic description of that song. In this paper we describe a conceptual design for generic music identification. Therefore, we propose a hierarchy of elementary music descriptions and introduce the concept of generic perceptual musical patterns. To prove the designed model, it is implemented for symbolic music files.
  • Keywords
    audio signal processing; music; elementary music descriptions; generic description; generic music identification; generic perceptual musical patterns; human perception; symbolic music files; Acoustic noise; Chemical technology; Digital audio players; Fingerprint recognition; Humans; Instruments; Music; Rhythm; Signal to noise ratio; Timbre; Music Identification; Music Information Retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automated solutions for Cross Media Content and Multi-channel Distribution, 2008. AXMEDIS '08. International Conference on
  • Conference_Location
    Florence
  • Print_ISBN
    978-0-7695-3406-0
  • Type

    conf

  • DOI
    10.1109/AXMEDIS.2008.27
  • Filename
    4688044