Development of a superdirective microphone-array system based on the soft computing technology
| Project/Area Number |
24560519
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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 |
Measurement engineering
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| Research Institution | University of Yamanashi |
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Principal Investigator |
OZAWA Kenji 山梨大学, 総合研究部, 教授 (30204192)
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| Co-Investigator(Kenkyū-buntansha) |
KINOSHITA Yuichiro 山梨大学, 大学院総合研究部, 准教授 (70452133)
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| Research Collaborator |
ISEKI Akihiro
AKISHIKA Yusuke
MORISE Masanori
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | マイクロホンアレイ / ニューラルネットワーク / 遺伝的アルゴリズム / ソフトコンピューティング / 指向性 / 時空間音圧分布 / GPU / 最適化 / 学習パラメータ / 瞬時音圧分布 |
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| Outline of Final Research Achievements |
This study deals with the technology of spatial recording of acoustical signals and aims to improve the spatial resolution by introducing the soft computing technology.
The optimization of a neural-network-based microphone-array system was achieved by determining the system parameters and the neural-network-learning parameters using a genetic algorithm. Then the system was expanded to learn super-directivities for multiple frequencies. As a result, the super-directivities for sinusoidal signals with various frequencies were yielded. Finally, we developed a wideband system in which an input complex tone is decomposed into sinusoidal components using the fast Fourier transform, and processed in parallel with independent array-processing units.
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Report
(4 results)
Research Products
(8 results)
