Automatic vocalisation detection delivers reliable, multi-faceted, and global avian biodiversity monitoring
S. S. Sethi, A. Bick, M.-Y. Chen, R. Crouzeilles, B. V. Hillier, J. Lawson, C.-Y. Lee, S.-H. Liu, C. H. d. F. Parruco, C. Rosten, M. Somveille, M.-N. Tuanmu, C. Banks-Leite
The paper applies a pre-trained bird vocalisation detection model to global audio datasets, achieving high precision for many species and enabling biodiversity monitoring across multiple spatial and temporal scales.
bioRxiv · Sep 14, 2023 · PreprintEcology