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arXiv paper proposes active learning framework for bioacoustic monitoring
A new preprint introduces BioDCASE, an active learning approach aimed at reducing the labeling burden in passive acoustic monitoring for ecology. The work targets the high cost of annotating large audio datasets by selecting which recordings are most worth labeling. It is published on arXiv under the cs.LG category.