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Introduces Random Attention (RA), a lightweight temporal modeling module for mobile sleep staging that uses fixed random projections for similarity-based aggregation, achieving competitive performance with minimal additional parameters.
This paper introduces CoughSense, a system that classifies cough recordings into five respiratory disease categories using a fine-tuned Whisper encoder with active-frame pooling, achieving 82.3% balanced accuracy and deployed as a real-time mobile app.