A Generalizable Speech Emotion Recognition Model Reveals Depression and Remission
Lasse Hansen, Yanping Zhang, Detlef Wolf, Konstantinos Sechidis, Nicolai Ladegaard, Riccardo Fusaroli
This paper develops a speech emotion recognition model trained on non-clinical data to detect depression and remission in clinical speech, achieving an AUC of 0.71.
Acta Psychiatrica Scandinavica · Nov 30, 2021Peer-reviewedBioinformatics