Detecting Depression Severity from Vocal Prosody
Top Cited Papers
- 29 November 2012
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Affective Computing
- Vol. 4 (2) , 142-150
Abstract
To investigate the relation between vocal prosody and change in depression severity over time, 57 participants from a clinical trial for treatment of depression were evaluated at seven-week intervals using a semistructured clinical interview for depression severity (Hamilton Rating Scale for Depression (HRSD)). All participants met criteria for major depressive disorder (MDD) at week one. Using both perceptual judgments by naive listeners and quantitative analyses of vocal timing and fundamental frequency, three hypotheses were tested: 1) Naive listeners can perceive the severity of depression from vocal recordings of depressed participants and interviewers. 2) Quantitative features of vocal prosody in depressed participants reveal change in symptom severity over the course of depression. 3) Interpersonal effects occur as well; such that vocal prosody in interviewers shows corresponding effects. These hypotheses were strongly supported. Together, participants' and interviewers' vocal prosody accounted for about 60 percent of variation in depression scores, and detected ordinal range of depression severity (low, mild, and moderate-to-severe) in 69 percent of cases (kappa = 0.53). These findings suggest that analysis of vocal prosody could be a powerful tool to assist in depression screening and monitoring over the course of depressive disorder and recovery.Keywords
This publication has 36 references indexed in Scilit:
- Affective Cognition and its Disruption in Mood DisordersNeuropsychopharmacology, 2010
- Effects of damping head movement and facial expression in dyadic conversation using real–time facial expression tracking and synthesized avatarsPhilosophical Transactions of the Royal Society B: Biological Sciences, 2009
- Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technologyJournal of Neurolinguistics, 2007
- Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey ReplicationArchives of General Psychiatry, 2005
- Criteria for Emotion Recognition from Verbal and Nonverbal Expression: Studying Baggage Loss in the AirportPersonality and Social Psychology Bulletin, 2000
- Vocal timing in face-to-face interaction of clinically depressed and nondepressed mothers and their 4-month-old infantsInfant Behavior and Development, 1996
- Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis.Psychological Bulletin, 1992
- Maternal Depression and Motherese: Temporal and Intonational FeaturesChild Development, 1988
- Communicating emotion: The role of prosodic features.Psychological Bulletin, 1985
- A RATING SCALE FOR DEPRESSIONJournal of Neurology, Neurosurgery & Psychiatry, 1960