Transactions of the Japanese Society for Artificial Intelligence
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
Special Paper
VOCALOID Creator Search Using Music Genre and Impression
Yuu SueyoshiYohei Seki
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JOURNAL FREE ACCESS

2017 Volume 32 Issue 1 Pages WII-K_1-12

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Abstract

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.

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© The Japanese Society for Artificial Intelligence 2016
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