3 papers
cs.LG2026
bacpipe: a Python package to make bioacoustic deep learning models accessible
Vincent S. Kather, Sylvain Haupert, Burooj Ghani +1
1. Natural sounds have been recorded for millions of hours over the previous decades using passive acoustic monitoring. Improvements in deep learning models have vastly accelerated…
cs.SD2026
DeepForestSound: a multi-species automatic detector for passive acoustic monitoring in African tropical forests, a case study in Kibale National Park
Gabriel Dubus, Théau d'Audiffret, Claire Auger +10
Passive Acoustic Monitoring (PAM) is widely used for biodiversity assessment. Its application in African tropical forests is limited by scarce annotated data, reducing the performa…
cs.SD2025
Acoustic evaluation of a neural network dedicated to the detection of animal vocalisations
Jérémy Rouch, M Ducrettet, S Haupert +2
The accessibility of long-duration recorders, adapted to sometimes demanding field conditions, has enabled the deployment of extensive animal population monitoring campaigns throug…