• DocumentCode
    683744
  • Title

    Detecting Musical Genre Borders for Multi-label Genre Classification

  • Author

    Nakamura, Hajime ; Hung-Hsuan Huang ; Kawagoe, Kyoji

  • Author_Institution
    Ritsumeikan Univ., Kusatsu, Japan
  • fYear
    2013
  • fDate
    9-11 Dec. 2013
  • Firstpage
    532
  • Lastpage
    533
  • Abstract
    In this paper, we propose a novel method to detect music genre borders for the music genre classification. The music genre classification is getting more important because music is influenced by an increasing amount of different musical styles. A general approach to classify music genres is a single genre labeling that usually gives the meaning of inherent stylistic elements to a musical piece. However this gives ambiguity in case of a music piece having multiple genres. To solve the problem, we consider separating the multi-label classification task into the single-label genre classification task. We propose a novel method to detect music genre borders for multi-label genre classification. The proposed method can find borderlines of different genres in music. Moreover, it is strongly expected to realize the multi-label genre classification to apply the single-label genre classification to each detected music segment.
  • Keywords
    audio signal processing; music; signal classification; signal detection; inherent stylistic elements; multilabel genre classification; music genre classification; music segment detection; musical genre border detection; musical styles; single-label genre classification task; Bars; Educational institutions; Instruments; Labeling; Mel frequency cepstral coefficient; Multimedia communication; genre border; music genre classification; music structure analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia (ISM), 2013 IEEE International Symposium on
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    978-0-7695-5140-1
  • Type

    conf

  • DOI
    10.1109/ISM.2013.108
  • Filename
    6746860