A study on sound category clustering for auditory scene analysis
| Project/Area Number |
26330203
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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 |
Perceptual information processing
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| Research Institution | Chiba Institute of Technology |
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Principal Investigator |
OKAWA Shigeki 千葉工業大学, 先進工学部, 教授 (40306395)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 音環境理解 / 音クラスタリング / 機械学習 / 音環境デザイン |
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| Outline of Final Research Achievements |
This study focused on "life-log sound", which is various sounds surrounding our life environments, to determine those physical and semantic categories and to discriminate those acoustic events. Our achievements include: (i) defining a method to express the life-log sound mainly based on the subjective evaluation; (ii) investigating and implimenting some algorithms to discriminate sounds based on GMM, DNN, and NMF; (iii) designing a robotic-based method to control the sound, in terms of Auditory Scene Analysis, in a comparatively small space.
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Report
(4 results)
Research Products
(8 results)
