N. Mathevon

A cooperatively breeding mouse shows flexible use of its vocal repertoire according to social context

The paper shows that African striped mice adjust their vocalizations based on social context, using different call types and temporal patterns depending on familiarity and sex of interacting individuals.

Visualization and quantification of coral reef soundscapes using CoralSoundExplorer software

The paper introduces CoralSoundExplorer, an open-source software tool for analyzing coral reef soundscapes using deep learning, demonstrating its ability to visualize and quantify acoustic changes in different reef environments.

Improving the workflow to crack Small, Unbalanced, Noisy, but Genuine (SUNG) datasets in bioacoustics: the case of bonobo calls

The paper improves workflow for analyzing SUNG datasets in bioacoustics by applying machine learning to bonobo calls, identifying effective feature sets and classification methods.