the Event-Shifted Acoustic Scene
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Towards Event-Robust Acoustic Scene Classification
arXiv:2606.06921v1 Announce Type: new Abstract: This paper introduces the Event-Shifted Acoustic Scene (ESAS) dataset, a novel benchmark for evaluating the robustness of Acoustic Scene Classification (ASC) systems against unknown sound events. Existing ASC datasets typically contain recordings of clean and consistent audio, while real-world environments often include diverse and unexpected sound events. To bridge this gap, ESAS simulates real-world acoustic variability by injecting...