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ENTITY Acevedo et al.

Acevedo et al.

PulseAugur coverage of Acevedo et al. — every cluster mentioning Acevedo et al. across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_70578 ·

    New method boosts audio-language classification accuracy in noise

    Researchers have developed a new method called Drift-Augmented Scoring (DAS) to improve the robustness of zero-shot audio-language classification models against acoustic noise. This technique adds a small bonus to the c…