• DocumentCode
    3511030
  • Title

    Rhythm map: Extraction of unit rhythmic patterns and analysis of rhythmic structure from music acoustic signals

  • Author

    Tsunoo, Emiru ; Ono, Nobutaka ; Sagayama, Shigeki

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Univ. of Tokyo, Tokyo
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    185
  • Lastpage
    188
  • Abstract
    This paper discusses an approach to extract constituent percussive bar-long patterns in a music piece given as acoustic signal and to analyze the music structure with a map of constituent rhythmic patterns. Possible applications include music genre classification, music information retrieval (MIR) and music modification such as replacing rhythmic patterns with others. We propose a mathematical method based on One-pass DP algorithm and k-means clustering to extract unit percussive rhythmic patterns. As the result of identifying and localization the unit patterns in the entire piece, we obtained a music structure in the form of a map of rhythmic patterns.
  • Keywords
    acoustic signal detection; feature extraction; information retrieval; constituent rhythmic patterns; music acoustic signals; music genre classification; music information retrieval; music modification; rhythm map; unit rhythmic patterns extraction; Clustering algorithms; Data mining; Information analysis; Iterative algorithms; Multiple signal classification; Music; Pattern analysis; Rhythm; Signal analysis; Spectrogram; Dynamic programming; Pattern clustering method; Percussive sound; Spectral analysis; feature extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959551
  • Filename
    4959551