Development of Social Networks based on Music Recommendation Techniques for Assisting Active Music Listening
| Project/Area Number |
20800084
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| Research Category |
Grant-in-Aid for Young Scientists (Start-up)
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent informatics
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
YOSHII Kazuyoshi National Institute of Advanced Industrial Science and Technology, 情報技術研究部門, 研究員 (20510001)
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| Project Period (FY) |
2008 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥2,743,000 (Direct Cost: ¥2,110,000、Indirect Cost: ¥633,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2008: ¥1,443,000 (Direct Cost: ¥1,110,000、Indirect Cost: ¥333,000)
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| Keywords | 音楽情報処理 / 音楽推薦 / 機械学習 / 確率モデル / WEBアプリケーション / 能動的音楽鑑賞 / 音楽鑑賞 |
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| Research Abstract |
This research aims to develop techniques that can accurately recommend musical pieces to users at a low computational cost and enable users to actively control recommendation results through human-machine interaction. First, we have studied on automatic recognition of musical contents, which could be used for making recommendations. Consequently, we successfully developed a method that can accurately detect multiple fundamental frequencies from polyphonic musical audio signals, and significantly improved the accuracy of recommendations. Second, we have been working on development of social-network functions that enable users to selectively focus on musical contents in making recommendations and to discover other users who have the similar tastes. We implemented and examined a Web-based recommender system. Future work includes improvement of social networks and practical operations of the recommender system.
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Report
(3 results)
Research Products
(9 results)
