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  5. animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics.

animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics.

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Resource type
Journal article
Creator (person)
Schäfer‐Zimmermann, Julian C.
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Demartsev, Vlad
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Averly, Baptiste
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Dhanjal‐Adams, Kiran L.
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Duteil, Mathieu
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Gall, Gabriella
Faiß, Marius
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Johnson‐Ulrich, Lily
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Stowell, Dan
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Manser, Marta B.
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Roch, Marie A.
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Strandburg‐Peshkin, Ariana
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Date published
December 25, 2025
Project(s)
Priority 5: Enhanced Partnerships
Funder
Funder nameAwards
Minerva Foundation, Grmany
Universität Zürich, Switzerland
MAVA Foundation
H2020 Marie Skłodowska-Curie Actions, European Union
101071532
Max-Planck-Gesellschaft, Germany
Human Frontier Science Program, France
Grant no. RGP0051/2019
Alexander von Humboldt-Stiftung, Germany
Natural Environment Research Council, United Kingdom
NE/G006822/1
H2020 European Research Council, European Union
742808 - 294494
Gips-Schüle-Stiftung, Germany
Universität Konstanz, Germany
Young Scholars Fund
Journal title
Methods in Ecology and Evolution
Article number
2041-210x.70218
Publisher
Published by John Wiley & Sons Ltd on behalf of British Ecological Society.
Place of publication
UK
ISSN
2041-210X
eISSN
2041-210X
Date accepted
November 5, 2025
Official URL
https://doi.org/10.1111/2041-210x.70218
Rights statement
In Copyright
Licence
https://creativecommons.org/licenses/by/4.0/
DOI
10.1111/2041-210x.70218
Keywords
Reference dataset
Bioacoustics
Suricata
Meerkats
Animal vocalizations
Transformer
South Africa
Suricata suricatta
Kalahari Research Centre (South Africa)
Self-supervised deep learning
Additional information
IF = 6.2 (2024)
Managed by the British Library and supported by the AHRC

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