Automatic Music Composition Adapting to Personal Sensibility Based on Evolutionary Computation Algorithm
| Project/Area Number |
26330318
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Kansei informatics
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| Research Institution | Tokyo City University |
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Principal Investigator |
OTANI Noriko 東京都市大学, メディア情報学部, 教授 (70328566)
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| Co-Investigator(Renkei-kenkyūsha) |
NUMAO Masayuki 大阪大学, 産業科学研究所, 教授 (30198551)
AIBA Eriko 電気通信大学, 情報理工学系研究科, 助教 (40569761)
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 自動作曲 / 感性モデル獲得 / 進化計算アルゴリズム / 帰納論理プログラミング / 訓練例作成 |
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| Outline of Final Research Achievements |
In this research, we aimed to construct an automatic music composition system adapting to personal sensibility, and to provide an environment where music can be enjoyed for more various use. A method of generating chord progressions in consideration of the entire music structure, a method for extracting personal sensibility models using only existing musical pieces adapting the objective as training data, and a method of utilizing the automatic music composition system in artists' creative activities were proposed. Those effectiveness were confirmed in some experiments and case studies. In addition, we developed a browser-based interface, and held some workshops of experience of our automatic music composition system in various events.
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Report
(5 results)
Research Products
(15 results)
