An Integrated Framework for Field Recording, Localization, Classification and Annotation of Birdsongs Using Robot Audition Techniques - Harkbird 2.0

S. Sumitani, R. Suzuki, N. Chiba, S. Matsubayashi, T. Arita, K. Nakadai, H. G. Okuno

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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).

本文言語English
ホスト出版物のタイトル2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ8246-8250
ページ数5
ISBN(電子版)9781479981311
DOI
出版ステータスPublished - 2019 5
イベント44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
継続期間: 2019 5 122019 5 17

出版物シリーズ

名前ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2019-May
ISSN(印刷版)1520-6149

Conference

Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
CountryUnited Kingdom
CityBrighton
Period19/5/1219/5/17

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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