VOCALOID Creator Search Using Music Genre and Impression
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- Sueyoshi Yuu
- College of Knowledge and Library Sciences, School of Informatics, University of Tsukuba
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- Seki Yohei
- Faculty of Library, Information and Media Science, University of Tsukuba
Bibliographic Information
- Other Title
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- 音楽のジャンルと印象を用いたVOCALOID クリエータの検索
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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
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- Transactions of the Japanese Society for Artificial Intelligence
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Transactions of the Japanese Society for Artificial Intelligence 32 (1), WII-K_1-12, 2017
The Japanese Society for Artificial Intelligence
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Keywords
Details 詳細情報について
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- CRID
- 1390282680085149312
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- NII Article ID
- 120006382592
- 130005290732
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- NII Book ID
- AA12024147
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- ISSN
- 13468030
- 13460714
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- HANDLE
- 2241/00150326
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- Crossref
- CiNii Articles
- IDR
- KAKEN
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- Abstract License Flag
- Disallowed