AI RESEARCH
Foundation Models for Bioacoustics -- a Comparative Review
arXiv CS.LG
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ArXi:2508.01277v2 Announce Type: replace-cross Automated bioacoustic analysis is essential for biodiversity monitoring and conservation, requiring advanced deep learning models that can adapt to diverse bioacoustic tasks. This article presents a comprehensive review of large-scale pretrained bioacoustic foundation models and systematically investigates their transferability across multiple bioacoustic classification tasks. We overview bioacoustic representation learning by analysing pre