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This repository gathers python scripts to use auto-encoder neural networks on vocalisation spectrograms, allowing to cluster them by frequency-contour similarity.
It was developped to assist bioacousticians in their repertoire discovery procedures, making deep self-supervised learning accessible to non-experts of the field.
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For a detailled description of the scientific motivation and experiments corresponding to this repository, please see
For a detailled description of the scientific motivation and experiments corresponding to this repository, please see
Best, P., Marxer, R., Paris, S., & Glotin, H. (2023). Deep audio embeddings for vocalisation clustering. bioRxiv, 2023-03.
Best, P., Marxer, R., Paris, S., & Glotin, H. (2023). Deep audio embeddings for vocalisation clustering. bioRxiv, 2023-03.
