Artificial Intelligence #benchmark#cough regression
Cough Regression Benchmark Reveals Trade-Offs in Respiratory Acoustic Foundation Models
A new benchmark from researchers at NC State evaluates five respiratory acoustic foundation models on cough regression tasks—predicting age, BMI, and disease probability from cough audio. The study reveals that smaller MLP heads often outperform linear probes, but full-MLP heads overfit on small clinical data. HeAR and M2D+Resp achieve near-full performance with only 50 samples, while OPERA models require 400. Cross-dataset transfer is asymmetric, with large diverse datasets generalizing better to small clinical populations.
Jun 16, 2026 1 source