Phonological properties like lexical stress and sonority are both said to have an effect on intensity.  However, it is not clear how consistent and predictable these effects are.  This project focuses on training neural networks and more interpretable models to predict the amplitude envelope (a metric of intensity) with stress and sonority information to more comprehensively understand if and what predictable effects lexical stress and sonority have on intensity.