Outdoor sound collection for auditory scene analysis in a daily life and its applications
Project/Area Number |
15K00255
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Perceptual information processing
|
Research Institution | Osaka Sangyo University |
Principal Investigator |
Takahashi Toru 大阪産業大学, デザイン工学部, 准教授 (30419494)
|
Project Period (FY) |
2015-04-01 – 2018-03-31
|
Project Status |
Completed (Fiscal Year 2017)
|
Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
Keywords | 音環境理解 / ロボット聴覚 / 音源定位 / 音源分離 / 音声強調 / 環境音 / 非負値行列因子分解 / マイクロホンアレイ / 音源到来方向推定 / 音声認識 / 楽曲検索 / MUSIC法 / 周波数分析 / 帯域幅 |
Outline of Final Research Achievements |
Sound signal processing to understand daily life sounds is investigated in this project. Sound source localization, sound source separation, and sound source emphasis methods are developed. Since many kinds of sounds are radiated in daily environment, it is hard to optimize recoding level in advance. I investigated how difficult for optimizing the level with conventional recording devices. And I also investigated the task of detecting the sound source direction and the speech signal enhancement method in the environment where the music flows in the background. In the everyday sound environment, since the number of sound sources in the environment cannot be known in advance, the sound source separation task in environments where there are sound sources more than the number of microphones, especially the target signal emphasis method specialized for speech and its parameter learning method Was developed.
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Report
(4 results)
Research Products
(19 results)