Domain‐specific neural networks improve automated bird sound recognition already with small amount of local data-Reference-Cited by-同舟云学术

Domain‐specific neural networks improve automated bird sound recognition already with small amount of local data

Published:2022-10-17 Issue:12 Volume:13 Page:2799-2810
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Lauha Patrik¹^ORCID,Somervuo Panu¹^ORCID,Lehikoinen Petteri¹^ORCID,Geres Lisa²³,Richter Tobias²⁴,Seibold Sebastian²⁴^ORCID,Ovaskainen Otso¹⁵⁶^ORCID

Affiliation:

1. Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences University of Helsinki Helsinki Finland

2. Berchtesgaden National Park Berchtesgaden Germany

3. Goethe University Frankfurt, Faculty of Biological Sciences Institute for Ecology, Evolution and Diversity, Conservation Biology Frankfurt am Main Germany

4. TUM School of Life Sciences, Ecosystem Dynamics and Forest Management Technical University of Munich Freising Germany

5. Department of Biological and Environmental Science University of Jyväskylä Jyväskylä Finland

6. Department of Biology, Centre for Biodiversity Dynamics Norwegian University of Science and Technology Trondheim Norway

Funder

H2020 European Research Council

Jane ja Aatos Erkon Säätiö

Norges Forskningsråd

Academy of Finland

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.14003

Reference56 articles.

1. Real-time bioacoustics monitoring and automated species identification

2. Template‐based automatic recognition of birdsong syllables from continuous recordings

3. Abundance decline in the avifauna of the European Union reveals cross‐continental similarities in biodiversity change

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