The aim of this project is to enable a continuous tracker for voice (not speech) health. Key questions we hope to answer are: 1) Can voice health be tracked longitudinally using a combination of signal processing and machine learning? 2) Can a clinically relevant display be built to track such voice health? 3) How much individual data is needed to provide a good estimate of vocal health?