Automated birdsong recognition in complex acoustic environments: a review-Reference-Cited by-同舟云学术

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Automated birdsong recognition in complex acoustic environments: a review

Published:2018-05 Issue:5 Volume:49 Page:jav-01447
ISSN:0908-8857
Container-title:Journal of Avian Biology
language:en
Short-container-title:J Avian Biol

Author:

Priyadarshani Nirosha¹^ORCID,Marsland Stephen²^ORCID,Castro Isabel³^ORCID

Affiliation:

1. School of Engineering and Advanced Technology; Massey Univ.; Palmerston North New Zealand

2. School of Mathematics and Statistics; Victoria Univ. of Wellington; Wellington New Zealand

3. Wildlife and Ecology Group; Inst. of Agriculture and Environment, Massey Univ.; Palmerston North New Zealand

Publisher

Wiley

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jav.01447/fullpdf

Reference179 articles.

1. Using automated digital recording systems as effective tools for the monitoring of birds and amphibians;Acevedo;Wildl. Soc. Bull.,2006

2. Automated classification of bird and amphibian calls using machine learning: a comparison of methods;Acevedo;Ecol. Inform.,2009

3. Real-time bioacoustics monitoring and automated species identification;Aide;PeerJ,2013

4. The advertisement call and clutch size of the golden-capped boulder-frog Cophixalus pakayakulangun (Anura: Microhylidae);Aland;ZooTaxa,2013

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