• DocumentCode
    3460681
  • Title

    A chorus-section detecting method for musical audio signals

  • Author

    Goto, Musataku

  • Author_Institution
    Nat. Inst. of Adv. Ind. Sci. & Technol. (AIST), Japan Sci. & Technol. Corp. (JST), Ibaraki, Japan
  • Volume
    5
  • fYear
    2003
  • fDate
    6-10 April 2003
  • Abstract
    This paper describes a method for obtaining a list of chorus (refrain) sections in compact-disc recordings of popular music. The detection of chorus sections is essential for the computational modeling of music understanding and is useful in various applications, such as automatic chorus-preview functions in music browsers or retrieval systems. Most previous methods detected as a chorus a repeated section of a given length and had difficulty in identifying both ends of a chorus section and in dealing with modulations (key changes). By analyzing relationships between various repeated sections, our method called RefraiD can detect all the chorus sections in a song and estimate both ends of each section. It can also detect modulated chorus sections by introducing a similarity that enables modulated repetition to be judged correctly. Experimental results with a popular-music database show that this method detects the correct chorus sections in 80 of 100 songs.
  • Keywords
    audio coding; audio databases; audio discs; feature extraction; music; RefraiD; chorus-section detection method; compact-disc recordings; computational modeling; modulated chorus sections; modulated repetition; music understanding; musical audio signals; popular-music database; refrain sections; similarity; Acoustic signal detection; Audio recording; Buildings; Computational modeling; Databases; Hidden Markov models; Humans; Music information retrieval; Robustness; Signal detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7663-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2003.1200000
  • Filename
    1200000