A Generalizable Speech Emotion Recognition Model Reveals Depression and Remission.

Lasse HansenYan-Ping ZhangDetlef WolfKonstantinos SechidisNicolai LadegaardRiccardo Fusaroli

Published in: Acta psychiatrica Scandinavica (2021)

A generalizable speech emotion recognition model can effectively reveal changes in speaker depressive states before and after remission in patients with MDD. Data collection settings and data cleaning are crucial when considering automated voice analysis for clinical purposes.

Keyphrases

depressive symptoms
electronic health record
autism spectrum disorder
disease activity
big data
machine learning
ulcerative colitis
deep learning
high throughput
genome wide
rheumatoid arthritis
single cell
borderline personality disorder
stress induced