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MUUNRiver-Bench is presented, a diagnostic benchmark whose reference-audio queries use natural-language instructions to define relevance, and task-wise rank reversals reveal complementary biases: acoustic encoders favour local identity, whereas text-aligned encoders favour semantic relations.
TUTTI achieves unprecedented A2S performance by leveraging a synthetic dataset, outperforming traditional methods and enabling robust cross-instrument adaptability.
