Nicolas Mathevon

This paper uses deep learning to estimate seabird nest density from acoustic recordings, finding that vocal activity peaks strongly predict nest density.

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.

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.