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  • 标题:音楽のジャンルと印象を用いたVOCALOID クリエータの検索
  • 本地全文:下载
  • 作者:末吉 優 ; 関 洋平
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2017
  • 卷号:32
  • 期号:1
  • 页码:WII-K_1-12
  • DOI:10.1527/tjsai.WII-K
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:

    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.

  • 关键词:VOCALOID;creator search;music genre;Niconico
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