2019年5月
An Integrated Framework for Field Recording, Localization, Classification and Annotation of Birdsongs Using Robot Audition Techniques - Harkbird 2.0
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
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- 巻
- 2019-May
- 号
- 開始ページ
- 8246
- 終了ページ
- 8250
- 記述言語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/ICASSP.2019.8683743
- 出版者・発行元
- IEEE
© 2019 IEEE. Bird vocalizations are one of the important subjects in ecoacoustics because birds communicate diversely using various vocalizations such as songs and calls. We have developed a portable system, HARKBird to provide a basic function, i.e., birdsong localization, which automatically extracts sound sources and their direction of arrivals (DOA) using robot audition techniques based on HARK. In this paper, we introduce HARKBird 2.0 which is empowered for higher understanding of birdsongs. A new soundscape annotation tool for localization results is enhanced by an interactive interface for song classification based on an unsupervised feature mapping t-SNE. We show that HARKBird 2.0 provides bird researchers with an integrated framework to analyze spatio-spectro-temporal dynamics of birdsongs using the song analysis of Japanese bush warbler (Horornis diphone).
- リンク情報
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- DOI
- https://doi.org/10.1109/ICASSP.2019.8683743
- DBLP
- https://dblp.uni-trier.de/rec/conf/icassp/SumitaniSCMANO19
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85069497989&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85069497989&origin=inward
- URL
- https://dblp.uni-trier.de/conf/icassp/2019
- URL
- https://dblp.uni-trier.de/db/conf/icassp/icassp2019.html#SumitaniSCMANO19
- ID情報
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- DOI : 10.1109/ICASSP.2019.8683743
- ISSN : 1520-6149
- DBLP ID : conf/icassp/SumitaniSCMANO19
- SCOPUS ID : 85069497989