Multi-view learning in detection of psychological states

摘要

Systems and methods for using multi-view learning to leverage highly informative, high-cost, psychophysiological data collected in a laboratory setting, to improve post-traumatic stress disorder (PTSD) screening in the field, where only less-informative, low-cost, speech data are available. Partial least squares (PLS) methods can be used to learn a bilinear factor model, which projects speech and EEG responses onto latent spaces, where the covariance between the projections is maximized. The systems and methods use a speech representation based on a combination of audio and language descriptors extracted from spoken responses to open-ended questions.