气候变化领域集成服务门户(CCPortal): Animal Sound Identifier (ASI): software for automated identification of vocal animals

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DOI	10.1111/ele.13092
	Animal Sound Identifier (ASI): software for automated identification of vocal animals
	Ovaskainen O.; Moliterno de Camargo U.; Somervuo P.
发表日期	2018
ISSN	1461023X
卷号	21 期号:8
英文摘要	Automated audio recording offers a powerful tool for acoustic monitoring schemes of bird, bat, frog and other vocal organisms, but the lack of automated species identification methods has made it difficult to fully utilise such data. We developed Animal Sound Identifier (ASI), a MATLAB software that performs probabilistic classification of species occurrences from field recordings. Unlike most previous approaches, ASI locates training data directly from the field recordings and thus avoids the need of pre-defined reference libraries. We apply ASI to a case study on Amazonian birds, in which we classify the vocalisations of 14 species in 194 504 one-minute audio segments using in total two weeks of expert time to construct, parameterise, and validate the classification models. We compare the classification performance of ASI (with training templates extracted automatically from field data) to that of monitoR (with training templates extracted manually from the Xeno-Canto database), the results showing ASI to have substantially higher recall and precision rates. © 2018 The Authors. Ecology Letters published by CNRS and John Wiley & Sons Ltd
英文关键词	Automated vocal identification; autonomous audio recording; joint species distribution modelling; species classification; species identification; vocal communities
语种	英语
scopus关键词	automation; bioacoustics; biomonitoring; classification; database; identification method; modeling; probability; software; vocalization; Amazonia; Animalia; Anura; Aves; animal; automation; bird; software; sound detection; vocalization; Animals; Automation; Birds; Software; Sound Spectrography; Vocalization, Animal
来源期刊	Ecology Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/121266
作者单位	Faculty of Biological and Environmental Sciences, University of Helsinki, P.O. Box 65, Helsinki, FI-00014, Finland; Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, N-7491, Norway; The Helsinki Lab of Ornithology, The Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
推荐引用方式 GB/T 7714	Ovaskainen O.,Moliterno de Camargo U.,Somervuo P.. Animal Sound Identifier (ASI): software for automated identification of vocal animals[J],2018,21(8).
APA	Ovaskainen O.,Moliterno de Camargo U.,&Somervuo P..(2018).Animal Sound Identifier (ASI): software for automated identification of vocal animals.Ecology Letters,21(8).
MLA	Ovaskainen O.,et al."Animal Sound Identifier (ASI): software for automated identification of vocal animals".Ecology Letters 21.8(2018).