AI RESEARCH
Data-Efficient Self-Supervised Algorithms for Fine-Grained Birdsong Analysis
arXiv CS.LG
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ArXi:2511.12158v3 Announce Type: replace Research in bioacoustics, neuroscience, and linguistics often uses birdsong as a proxy to acquire knowledge across diverse areas. This requires audio models to annotate and parse the birdsong. Developing such models requires precise, syllable-level annotated