BEANS-Next and ROOTS: Broadening Audio-Language Capabilities for Bioacoustics
Read the original on arXiv Machine Learning →The paper introduces BEANS-Next, a comprehensive benchmark covering acoustic perception, biological category recognition, scene understanding, and in-context learning in bioacoustics, and shows that current audio‑language models perform poorly outside the narrow label‑centric tasks traditionally evaluated. To address this gap, the authors present ROOTS, a large‑scale training dataset enriched with curated real‑world data, behavioral and acoustic metadata, and synthetic generation, which improves performance across all BEANS‑Next task groups. Both the benchmark and dataset are released as open‑source resources to accelerate research in bioacoustics and ethology.
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