Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
SECURE-AI: Multi-Signal Uncertainty Quantification for Trustworthy Acoustic Cough Detection
Sejal Solkhan, Feiya Xiang, Mayur Sanap +2
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 da…
cs.LG2026
Beyond Classification: A Cough Regression Benchmark for Respiratory Acoustic Foundation Models
Mayur Sanap, Prasanna Desikan, Edgar Lobaton
Respiratory acoustic foundation models (FMs) excel at cough classification, yet their ability to predict continuous health quantities from cough audio remains largely unexplored, d…