Screening for Generalized Anxiety Disorder from Acoustic and Linguistic Features of Impromptu Speech: Prediction Model Evaluation Study (Preprint)

A logistic regression model using acoustic and linguistic speech features, which have been suggested to be associated with anxiety disorders in prior studies, can achieve above-random accuracy for predicting GAD. Importantly, the addition of basic demographic variables further improves model performance, suggesting a role for speech and demographic information to be used as automated, objective screeners of GAD.