Leveraging tropical reef, bird and unrelated sounds for superior
transfer learning in marine bioacoustics
Leveraging tropical reef, bird and unrelated sounds for superior
transfer learning in marine bioacoustics
Machine learning has the potential to revolutionize passive acoustic monitoring (PAM) for ecological assessments. However, high annotation and compute costs limit the field's efficacy. Generalizable pretrained networks can overcome these costs, but high-quality pretraining requires vast annotated libraries, limiting its current applicability primarily to bird taxa. Here, we identify the …