Development and validation of a machine learning-based vocal predictive model for major depressive disorder
Authors:
- 28 December 2022
- journal article
- research article
- Published by Elsevier in Journal of Affective Disorders
- Vol. 325, 627-632
Abstract
No abstract availableKeywords
This publication has 32 references indexed in Scilit:
- Reliability of the Hamilton Rating Scale for Depression: A meta-analysis over a period of 49yearsPsychiatry Research, 2011
- Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technologyJournal of Neurolinguistics, 2007
- Voice monitoring to measure emotional load during short-term stressEuropean Journal of Applied Physiology, 2002
- Speaking behavior and voice sound characteristics in depressive patients during recoveryJournal of Psychiatric Research, 1993
- Speech Characteristics in DepressionPsychopathology, 1991
- Modelling Affect in Terms of Speech ParametersPsychopathology, 1988
- Speech and voice parameters of depression: A pilot studyJournal of Communication Disorders, 1984
- Acoustic AnalysisArchives of General Psychiatry, 1981
- Elongation of Pause-Time in Speech: A Simple, Objective Measure of Motor Retardation in DepressionThe British Journal of Psychiatry, 1976
- A RATING SCALE FOR DEPRESSIONJournal of Neurology, Neurosurgery & Psychiatry, 1960