| Project/Area Number |
26730183
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Entertainment and game informatics 1
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| Research Institution | Nihon University |
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Principal Investigator |
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| Research Collaborator |
TERASAWA Hiroko 筑波大学, 大学院図書館情報メディア研究科, 助教
MATSUBARA Masaki 筑波大学, 大学院図書館情報メディア研究科, 特任助教
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| Project Period (FY) |
2014-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 筋活動 / 金管楽器 / 変換 / 音響的特徴 / 音響空間 / 筋電空間 / アフィン変換 / ニューラルネットワーク / 演奏 |
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| Outline of Final Research Achievements |
The purpose of this research is to develop a technique for predict the muscle activities from acoustic features (and vice versa) in playing the trumpet. We obtained the following results:
(1) The muscle activity is greater as the pitch is higher.
(2) In transforming the acoustic features extracted from the sound of playing the trumpet to muscle activity values, a non-linear method (neural network) is more accurate than a linear method (affine map).
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