The study aimed to predict depression severity using speech features during dialogues with a virtual avatar. Results showed that speech analysis can detect signs of depression, with the potential to enhance early interventions using virtual agents.
König, A., Tröger, J., Mallick, E., Mina, M., Linz, N., Wagnon, C., Karbach, J., Kuhn, C., & Peter, J. (2022). Detecting subtle signs of depression
Labbé, C., König, A., Lindsay, H., Linz, N., Tröger, J., & Robert, P. (2022). Dementia vs Depression : new methods for differential diagnosis using automatic speech
L. Domain a, M. Guillery a, N. Linz b, A. König c, d, J.M. Batail a, R. David e, I. Corouge f, E. Bannier f,
Screening for preclinical signs of depression in healthy young volunteers based on free speech. In collaboration with: Prof. Dr. Julia Karbach PD Dr. Jessica Peter
Study of depressive patients for the differential diagnosis between dementia and depression. A protocol of speech tasks and cognitive tests is performed with Delta.