Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge-Reference-Cited by-同舟云学术

Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge

Author:

Stowell Dan¹,Wood Michael D.²,Pamuła Hanna³,Stylianou Yannis⁴,Glotin Hervé⁵

Affiliation:

1. Machine Listening Laboratory; Centre for Digital Music; Queen Mary University of London; London UK

2. Ecosystems and Environment Research Centre, School of Environment and Life Sciences; University of Salford; Salford UK

3. Department of Mechanics and Vibroacoustics; AGH University of Science and Technology; Krakow Poland

4. Computer Science Department; University of Crete; Crete Greece

5. University Toulon; Aix Marseille University; CNRS, LIS, DYNI Team; SABIOD; Marseille France

Funder

Akademia Górniczo-Hutnicza im. Stanislawa Staszica

Engineering and Physical Sciences Research Council

Natural Environment Research Council

Radioactive Waste Management Ltd

ERASMUS+

Publisher

Wiley

Subject

Ecological Modelling,Ecology, Evolution, Behavior and Systematics

Link

Reference49 articles.

5. Random forests;Breiman;Machine Learning,2001

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