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  5. Bioacoustic detection with wavelet-conditioned convolutional neural networks.

Bioacoustic detection with wavelet-conditioned convolutional neural networks.

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Kiskin2020_Article_BioacousticDetectionWithWavele.pdf

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Resource type
Journal article
Creator (person)
Kiskin, Ivan
ORCIDORCID logo
Zilli, Davide
Li, Yunpeng
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Sinka, Marianne
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Willis, Kathy
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Roberts, Stephen
Date published
February 2020
Project(s)
HumBug project
Funder
Funder nameAwards
Engineering and Physical Sciences Research Council, United Kingdom
Grant No. EP/L015897/1 - AIMS CDT
Google, United States
Grant No. UK Impact Challenge 2014
Royal Academy of Engineering, United Kingdom
Journal title
Neural Computing and Applications
Volume
32
Publisher
Springer Science and Business Media LLC
Place of publication
Berlin/Heidelberg, Germany
ISSN
0941-0643
eISSN
1433-3058
Date accepted
July 11, 2018
Official URL
https://doi.org/10.1007/s00521-018-3626-7
Rights statement
In Copyright
Licence
https://creativecommons.org/licenses/by/4.0/
DOI
10.1007/s00521-018-3626-7
Keywords
Wavelets
Classification and detection
Convolutional neural networks
Bioacoustic detection
Short-time Fourier transform
Acoustic signal processing
Spectrograms
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