• DocumentCode
    2290488
  • Title

    Music Genre Classification and Similarity Calculation Using Bass-Line Features

  • Author

    Kitahara, Tetsuro ; Tsuchihashi, Yusuke ; Katayose, Haruhiro

  • Author_Institution
    CREST Muse Project, JST
  • fYear
    2008
  • fDate
    15-17 Dec. 2008
  • Firstpage
    574
  • Lastpage
    579
  • Abstract
    Various studies on music information retrieval have been conducted. Most of them used low-level features such as spectral and cepstral features, which are effective to some extent but have a limit because they do not directly or clearly correspond to any musical aspects. In this paper, we design new audio features to be extracted from bass lines.Because bass lines play important roles in both harmonic and rhythmic aspects and have a different style for each music genre, our bass-line features are expected to improve the similarity measure and classification accuracy. We also report applications of our bass-line features to music genre classification and musical similarity calculation.
  • Keywords
    classification; feature extraction; information retrieval; music; bass-line features; music genre classification; music information retrieval; musical similarity calculation; Amplitude modulation; Cepstral analysis; Data mining; Feature extraction; Frequency; Humans; Instruments; Music information retrieval; Rhythm; Signal processing; Genre classification; content-based music information retrieval; music similarity calculation; musical feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia, 2008. ISM 2008. Tenth IEEE International Symposium on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-0-7695-3454-1
  • Electronic_ISBN
    978-0-7695-3454-1
  • Type

    conf

  • DOI
    10.1109/ISM.2008.75
  • Filename
    4741229