Bat calls dataset for deep learning classification
Published: 2 March 2026| Version 2 | DOI: 10.17632/g7jy5s65v7.2
Contributor:
Mame Marie NdiayeDescription
This dataset contains ultrasonic bat call recordings used for CNN-based species classification. It includes: - Filtered recordings from the ChiroVox database, processed using an adaptive spectral subtraction method. - Unfiltered recordings from the Xeno-Canto database. The dataset focuses on six bat species: - Rhinolophus hipposideros - Myotis daubentonii - Eptesicus serotinus - Nyctalus noctula - Pipistrellus pipistrellus - Pipistrellus pygmaeus The data were collected and processed in the context of an academic project at INSA Rennes.
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Categories
Artificial Intelligence, Signal Processing