On the relative importance of vocal source, system, and prosody in human depression

2013 IEEE International Conference on Body Sensor Networks, BSN 2013

Volumn , Issue , 2013, Pages

  Horwitz, Rachelle ^a   Quatieri, Thomas F ^a   Helfer, Brian S ^a   Yu, Bea ^a   Williamson, James R ^a   Mundt, James ^b  

^a MIT LINCOLN LABORATORY   (United States)

^b Center for Psychological Consultation   (United States)

Author keywords

clinical assessment; free response vs. read speech; major depressive disorder; motor control; vocal biomarkers

Indexed keywords

AUDIO-BASED; CLINICAL ASSESSMENTS; CONTINUOUS MONITORING; MAJOR DEPRESSIVE DISORDER; MAJOR DEPRESSIVE DISORDER (MDD); MOTOR CONTROL; SPEECH PRODUCTION; VOCAL-TRACTS;

BODY SENSOR NETWORKS;

SPEECH;

EID: 84884639804     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BSN.2013.6575522     Document Type: Conference Paper

References (25)

1. C. Sabin, and C. Sackeim, H.A (1997). "Psychomotor Symptoms of Depression." Am J Psychiatry, 154:4-17
2. J.S. Buyukdura, S.M. McClintock, P.E. Croarkin, (2011). "Psychomotor retardation in depression: biological underpinnings, measurement, and treatment." Prog Neuropsychopharmacol Biol Psychiatry. 28(2):395-409
3. J. Mundt, P. Snyder, M.S. Cannizaro, K. Chappie, D.S. Geralts (2007). "Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology," J Neurolinguistics, 20(1): 50-64. (Pubitemid 44783244)
4. M. Fava, K. Kendler (2000). Major depressive disorder. Neuron 28(2), 335-341.
5. D. Faries et al. (2000) The responsiveness of the Hamilton depression rating scale. J Psychiatry Res 34:3-10. (Pubitemid 30006935)
6. D. France, R. Shiavi, et al., "Acoustical properties of speech as indicators of depression and suicidal risk," IEEE Transactions on Biomedical Engineering 47(7): 829.
7. T.F. Quatieri and N. Malyska, "Vocal-Source Biomarkers for Depression: A Link to Psychomotor Activity," Interspeech 2012.
8. L.A. Low, T. Maddage, M. Lech, L. Sheeber, N. Allen, "Influence of acoustic low-level descriptors in thc detection of clinical depression in adults," Proceedings of the 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010.
9. th Annual International Conference of the IEEE EMBS, 2003.
10. A. Ozdas, R. Shiavi, S. Silverman, M. Silverman, D. Mitchell, "Investigation of vocal jitter and glottal flow spectrum as possible cues for depression and near-term suicidal risk," IEEE Transactions on Biomedical Engineering 51(9), 2004.
11. A.Trevino, T.F. Quatieri, N. Malyska, "Phonologically-Based Biomarkers for Major Depressive Disorder," EURASIP Journal on Advances in Signal Processing: Special Issue on Emotion and Mental State Recognition from Speech, August 2011.
12. D. Sturim, P.Torres-Carrasquillo, T.F. Quatieri, N. Malyska, and A. McCree, "Automatic Detection of Depression in Speech using Gaussian Mixture Modeling with Factor Analysis," Interspeech 2011.
13. C. Price. "A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading." Neuroimage 62 (2012) 816-847.
14. P. Boersma and D. Weenink (2009). Praat: doing phonetics by computer (Version 5.1.5.05) [Computer Program]. Retrieved November, 2012, from http://www.praat.org
15. J. Myers, J. and A. Well (2003). Research design and statistical analysis, Lawrence Erlbaum.
16. P. J. B. Jackson and C. H. Shadle, "Pitch-scaled estimation of simultaneous voiced and turbulence-noise components in speech," IEEE Transactions on Speech and Audio Processing, vol. 9, pp. 713-726, 2001.
17. D. Rudoy, D.N. Spendley, and P.J. Wolfe. "Conditionally linear Gaussian models for estimating vocal tract resonances", Proc. Interspeech, 526-529, 2007.
18. D. Mehta, D. Rudoy, and P. Wolfe, "Kalman-based autoregressive moving average modeling and inference for formant and antiformant tracking," submitted to JASA, 2011.
19. H. Fujisaki and K. Hirose. Modeling the dynamic characteristics of voice fundamental frequency with applications to analysis and synthesis of intonation. In Preprints of papers, Working group on intonation, 13th International Congress Linguists, pages 57-70, Tokyo, 1982.
20. M. Cannizzaro, B. Harel, et al. (2004). "Voice acoustical measurement of the severity of major depression." Brain and cognition 56(1): 30-28.
21. M.P. Caligiuri, J. Ellwanger, "Motor and cognitive aspects of motor retardation in depression," J Affect Disord. 2000 Jan-Mar;57(1-3):83-93. (Pubitemid 30119960)
22. P. Bech, P. Allerup., F. Gram, N. Reisby, R. Rosenberg, O. Jacobsen, D A. Nagy (1981). "The Hamilton Depression Scale: Evaluation of objectivity using logistic models", Acta psychiat. scand. 63, 290-299.
23. T.F. Quatieri, Discrete-Time Speech Signal Processing: Principles and Practice, Prentice Hall, 2001.
24. M. Hamilton, A rating scale for depression. Br Med J. 23(1), 56 (1960)
25. http://www.nimh.nih.gov/research-funding/rdoc/index.shtml