A strongly annotated passive acoustic dataset for tropical bird monitoring

ArXi:2605.20578v1 Announce Type: cross Passive acoustic monitoring enables continuous, non-invasive biodiversity assessment across diverse ecosystems. The scale of these datasets has driven the adoption of machine learning, with supervised approaches showing strong performance. However, supervised methods require time-resolved annotated datasets, which remain scarce, especially in complex tropical soundscapes.