CoarseSoundNet: Building a reliable model for ecological soundscape analysis
This study presents a reproducible framework to build ML models for coarse soundscape classification and introduces CoarseSoundNet, a deep learning model trained to distinguish biophony, geophony, and anthropophony under realistic terrestrial PAM conditions.
Alexander Gebhard, Andreas Triantafyllopoulos, Dominik Arend et al.
· arXiv.org · 0 citations