An Integrated Framework for Field Recording, Localization, Classification and Annotation of Birdsongs Using Robot Audition Techniques — Harkbird 2.0
Autor: | Kazuhiro Nakadai, N. Chiba, Shinji Sumitani, Reiji Suzuki, Hiroshi G. Okuno, Takaya Arita, Shiho Matsubayashi |
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Rok vydání: | 2019 |
Předmět: |
0209 industrial biotechnology
Soundscape biology Computer science Interface (computing) Speech recognition 02 engineering and technology biology.organism_classification Diphone Field (computer science) 030507 speech-language pathology & audiology 03 medical and health sciences Annotation Horornis 020901 industrial engineering & automation Dynamics (music) Bush-warbler Robot audition 0305 other medical science |
Zdroj: | ICASSP |
DOI: | 10.1109/icassp.2019.8683743 |
Popis: | 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). |
Databáze: | OpenAIRE |
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