Extracting the Relationship between the Spatial Distribution and Types of Bird Vocalizations Using Robot Audition System HARK

Shinji Sumitani, Reiji Suzuki, Shiho Matsubayashi, Takaya Arita, Kazuhiro Nakadai, Hiroshi G. Okuno

    研究成果: Conference contribution

    5 被引用数 (Scopus)

    抄録

    For a deeper understanding of ecological functions and semantics of wild bird vocalizations (i.e., songs and calls), it is important to clarify the fine-scaled and detailed relationships among their characteristics of vocalizations and their behavioral contexts. However, it takes a lot of time and effort to obtain such data using conventional recordings or by human observation. Bringing out a robot to a field is our approach to solve this problem. We are developing a portable observation system called HARKBird using a robot audition HARK and microphone arrays to understand temporal patterns of vocalizations characteristics and their behavioral contexts. In this paper, we introduce a prototype system to 2D localize vocalizations of wild birds in real-time, and to classify their song types after recording. We show that the system can estimate the position of songs of a target individual and classify their songs with a reasonable quality to discuss their song - behavior relationships.

    本文言語English
    ホスト出版物のタイトル2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ2485-2490
    ページ数6
    ISBN(電子版)9781538680940
    DOI
    出版ステータスPublished - 2018 12 27
    イベント2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018 - Madrid, Spain
    継続期間: 2018 10 12018 10 5

    出版物シリーズ

    名前IEEE International Conference on Intelligent Robots and Systems
    ISSN(印刷版)2153-0858
    ISSN(電子版)2153-0866

    Conference

    Conference2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
    国/地域Spain
    CityMadrid
    Period18/10/118/10/5

    ASJC Scopus subject areas

    • 制御およびシステム工学
    • ソフトウェア
    • コンピュータ ビジョンおよびパターン認識
    • コンピュータ サイエンスの応用

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