SECURE-AI: Multi-Signal Uncertainty Quantification for Trustworthy Acoustic Cough Detection
arXiv:2610.23937v1 Announce Type: new Abstract: Acoustic models for cough detection achieve high accuracy on curated benchmarks but fail silently in deployment, where speech, environmental noise, and audio unlike the training data induce confident misclassifications. In health monitoring, a confide…
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- 2026-10-20 04:00 · arXiv cs.LG
SECURE-AI: Multi-Signal Uncertainty Quantification for Trustworthy Acoustic Cough Detection