| Project/Area Number |
16K16094
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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 |
Perceptual information processing
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 音環境推定 / 危機検知 / 音環境理解 |
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| Outline of Final Research Achievements |
In this study, for detecting critical situation in the house, I have developed an algorithm and an acoustic system that automatically estimate acoustic environments (recognize speech, daily-life sound and abnormal sound) in real time. This system firstly extracts acoustic features that well represent human auditory characteristics from a sound measured by a microphone. After that, the critical degree is evaluated by a deep neural network that is trained with these acoustic features. Then, the result is shown on the computer display.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究成果は、叫び声、異常音、報知音を危機として捉えて、音環境を推定できる音響システムを開発しており、高齢者にとどまらず、全ての単身生活者を犯罪や災害などの危機的状況から守る一助となる。特に核家族や単身生活を想定すると、単身生活者と離れて暮らす家族が、当人の生活状況を遠隔地から随時確認することが可能となり、安全安心な生活基盤の形成に貢献できる。さらに、危機的状況を検知することで重大な犯罪を未然に防ぐ効果も期待できる。
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