Bat calls dataset for deep learning classification

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Authors: Mame Marie Ndiaye
Cited by: 0

Abstract

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.

Fields of Study & Subjects

Bat Biology and Ecology Studies Music and Audio Processing Animal Vocal Communication and Behavior

Publication details

Journal / source
Mendeley Data
Publication date
2 February 2026
Document type
Dataset