2 papers
cs.LG2022
Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data
Salvatore Fara, Orlaith Hickey, Alexandra Georgescu +3
Predicting the presence of major depressive disorder (MDD) using behavioural and cognitive signals is a highly non-trivial task. The heterogeneous clinical profile of MDD means tha…
cs.SD2022
Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression
Salvatore Fara, Stefano Goria, Emilia Molimpakis +1
Embedded in any speech signal is a rich combination of cognitive, neuromuscular and physiological information. This richness makes speech a powerful signal in relation to a range o…