Abstract: Sound Event Detection (SED) systems are essential for understanding and classifying the causes and temporal occurrences of sounds in diverse environments. This paper introduces a robust and ...
Abstract: Detecting overlapping sound events in complex acoustic environments presents a significant challenge due to the intricate variations in both temporal and spectral domains, which hinders the ...
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