音楽のジャンルと印象を用いたVOCALOID クリエータの検索  [in Japanese] VOCALOID Creator Search Using Music Genre and Impression  [in Japanese]

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Author(s)

    • 末吉 優 Sueyoshi Yuu
    • 筑波大学情報学群知識情報・図書館学類 College of Knowledge and Library Sciences, School of Informatics, University of Tsukuba
    • 関 洋平 Seki Yohei
    • 筑波大学図書館情報メディア系 Faculty of Library, Information and Media Science, University of Tsukuba

Abstract

<p>This paper proposes the following methods to search VOCALOID creators who publish music videos in Niconico video hosting service. For VOCALOID creator search, the user can utilize three clues: VOCALOID character name, music genre, and impressions. We defined the music genre by extending generic digital music genre with considering social tags annotated on VOCALOID music videos. We also implemented SVM-based music impression estimator utilizing viewer comments being over 0.8 points in F-values. We compared the proposal with three comparison methods in 12 search tasks and clarified the effectiveness of music genres and impressions.</p>

Journal

  • Transactions of the Japanese Society for Artificial Intelligence

    Transactions of the Japanese Society for Artificial Intelligence 32(1), WII-K_1-12, 2017

    The Japanese Society for Artificial Intelligence

Codes

  • NII Article ID (NAID)
    130005290732
  • Text Lang
    JPN
  • ISSN
    1346-0714
  • Data Source
    J-STAGE 
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