Monitoring bird songs using microphone arrays and robot audition, HARK
| Project/Area Number |
17H06841
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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| Research Field |
Environmental agriculture(including landscape science)
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| Research Institution | Osaka University |
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Principal Investigator |
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| Research Collaborator |
Suzuki Reiji
Nakadai Kazuhiro
Okuno Hiroshi
Saito Fumiyuki
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| Project Period (FY) |
2017-08-25 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 鳥類観測 / マイクロフォンアレイ / ロボット聴覚 / 歌コミュニケーション / ２次元定位 / 希少種保護 / 夜行性鳥類 / 外来鳥種 / 野鳥観測 / 自動モニタリング / サウンドスケープ / 鳥類モニタリング / 外来種対策 / 生物多様性評価 / 相互作用 / 外来種ソウシチョウ |
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| Outline of Final Research Achievements |
This study aimed at automatically monitoring the type and the location of birdsongs to better understand their vocal interaction by using microphone arrays and robot audition HARK. Our recording and analysis system successfully collected birdsong data with positional information, which cannot be obtained easily by using conventional recording equipment, under diverse environmental conditions such as forests and grasslands. It also increased efficiency in the data collection and analysis, while providing the reproducibility. We analyzed song data and found that individual birds adjusted their temporal pattern of singing to avoid the temporal overlapping of songs.
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| Academic Significance and Societal Importance of the Research Achievements |
観測対象とした鳥類のうち、とくに夜行性フクロウは都道府県レベルで希少種に選定されているが、夜行性という習性に加え、個体密度や鳴き声頻度が比較的低いこと、さらに繁殖期に外部からの刺激を嫌うことから繁殖期の行動には未解明の点が多い。当該システムの活用により従来の方法では容易に得られなかった個体の詳細の位置情報の集積が可能になり、非接触・低ストレスの長期モニタリングが可能になった。鳥類観測実務の効率や精度の向上を通した技術的貢献や野鳥の生態理解という学術的貢献に加え、対象種の生息地保全や創出にあたって質の高いエビデンスを提供することにつながりうる。
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Report
(3 results)
Research Products
(16 results)
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[Journal Article] An integrated framework for field recording, localization, classification and annoataion of birdsongs using robot audition techniques- HARKBIRD 2.02019
Author(s)
Shinji Sumitani, Reiji Suzuki, Naoaki Chiba, Shiho Matsubayashi, Takaya Arita, Kazuhiro Nakadai, Hiroshi G. Okuno
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Journal Title
International Conference on Acoustics, Speech, and Signal Processing
Volume: 印刷中
Related Report
Peer Reviewed
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[Journal Article] ロボットが聴く夜の鳥2018
Author(s)
松林志保,斎藤史之,林晃一郎,鈴木麗璽,有田隆也,中臺一博,奥乃博.
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Journal Title
第52回人工知能学会 AIチャレンジ研究会予稿集
Volume: 52(4)
Pages: 15-20
Related Report
Open Access
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