Automated Analysis of Speech and Language
Trevor A. Cohen, PhD
Department of Biomedical Informatics and Medical Education, University of Washington
Automated Analysis of Speech and Language: Many of the cardinal symptoms of mental health conditions are detected in spoken language. For example, disordered thinking may manifest as speech that appears incoherent, lacking meaningful connections between phrases or sentences. Changes in mood may be expressed explicitly in language, or detectable from subtle linguistic indicators.
This project aims to develop and evaluate automated methods that detect linguistic indicators of clinically important changes in mental state, with the overarching goals of developing instruments to support continuous monitoring, and advancing scientific understanding of the transdiagnostic spectrum of symptomatology in psychiatry.