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

Version 1.0
Schaefer-Zimmermann, Julian; Demartsev, Vlad; Averly, Baptiste; Dhanjal-Adams, Kiran; Duteil, Mathieu; Gall, Gabriella; Faiß, Marius; Johnson-Ulrich, Lily; Stowell, Dan; Manser, Marta; Roch, Marie; Strandburg-Peshkin, Ariana, 2024, "Pretrained models for animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics", https://doi.org/10.17617/3.ETPUKU, Edmond, V1
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Description
Model weights for animal2vec

Please find the accompanying code at our official repository:
github.com/livingingroups/animal2vec

Here you find the model weights for the pretrained and the finetuned animal2vec model using the MeerKAT dataset.

For more information on how to use this, please see our paper and our GitHub repository.
Subject Biology; Computer Science, Systems and Electrical Engineering
Keyword Deep Learning, Transformer, Bioascoustics, Bioacoustics, audio, machine learning, Pretraining / Finetune, Meerkats, Model weights
Related Publication Schäfer-Zimmermann, J. C., Demartsev, V., Averly, B., Dhanjal-Adams, K., Duteil, M., Gall, G., ... & Strandburg-Peshkin, A. (2024). animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics. Preprint at arXiv:2406.01253.https://arxiv.org/abs/2406.01253
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animal2vec_large_finetuned_MeerKAT_240507.pt
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animal2vec_large_pretrained_MeerKAT_240507.pt
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