Spectro-temporal analysis of speech affected by depression and psychomotor retardation

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2013, Pages 7542-7546

  Cummins, Nicholas ^a,b   Epps, Julien ^a,b   Ambikairajah, Eliathamby ^a,b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b CSIRO   (Australia)

Author keywords

Depression; Energy variability; Modulation Spectrum; Psychomotor Retardation; Spectro Temporal

Indexed keywords

DEPRESSION; ENERGY VARIABILITY; MODULATION SPECTRUM; PSYCHOMOTOR RETARDATION; SPECTRO-TEMPORAL;

MODULATION;

SPEECH;

EID: 84890471312     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6639129     Document Type: Conference Paper

References (22)

1. A. T. Beck and B. A. Alford, Depression: Causes and Treatment: University of Pennsylvania Press, 2008.
2. C. Sobin and H. A. Sackeim, "Psychomotor symptoms of depression," Am J Psychiatry, vol. 154, pp. 4-17, 1997.
3. H. Hamilton, "HAMD: A rating scale for depression," Neurosurg Psychiat, vol. 23, pp. 56-62, 1960.
4. J. C. Mundt, P. J. Snyder, M. S. Cannizzaro, K. Chappie, and D. S. Geralts, "Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology," Journal of Neurolinguistics, vol. 20, pp. 50-64, 2007.
5. H. H. Stassen, S. Kuny, and D. Hell, "The speech analysis approach to determining onset of improvement under antidepressants," European Neuropsychopharmacology, vol. 8, pp. 303-310, 1998.
6. M. Cannizzaro, B. Harel, N. Reilly, P. Chappell, and P. J. Snyder, "Voice acoustical measurement of the severity of major depression," Brain and Cognition, vol. 56, pp. 30-35, 2004.
7. T. F. Quatieri and N. Malyska, "Vocal-Source Biomarkers for Depression: A Link to Psychomotor Activity," in INTERSPEECH-2012, Portland, USA, 2012, p. NA.
8. J. C. Mundt, A. P. Vogel, D. E. Feltner, and W. R. Lenderking, "Vocal Acoustic Biomarkers of Depression Severity and Treatment Response," Biological Psychiatry, p. unavailable, 2012.
9. A. Trevino, T. Quatieri, and N. Malyska, "Phonologically-based biomarkers for major depressive disorder," EURASIP Journal on Advances in Signal Processing, vol. 2011, pp. 1-18, 2011.
10. N. Cummins, J. Epps, M. Breakspear, and R. Goecke, "An Investigation of Depressed Speech Detection: Features and Normalization," in INTERSPEECH-2011, Florence, Italy, 2011, pp. 2997-3000.
11. D. J. France, R. G. Shiavi, S. Silverman, M. Silverman, and M. Wilkes, "Acoustical properties of speech as indicators of depression and suicidal risk," Biomedical Engineering, IEEE Transactions on, vol. 47, pp. 829-837, 2000.
12. A. Ozdas, R. G. Shiavi, S. E. Silverman, M. K. Silverman, and D. M. Wilkes, "Investigation of vocal jitter and glottal flow spectrum as possible cues for depression and near-term suicidal risk," Biomedical Engineering, IEEE Transactions on, vol. 51, pp. 1530-1540, 2004.
13. L. S. A. Low, M. C. Maddage, M. Lech, L. B. Sheeber, and N. B. Allen, "Detection of Clinical Depression in Adolescents; Speech During Family Interactions," Biomedical Engineering, IEEE Transactions on, vol. 58, pp. 574-586, 2011.
14. D. Sturim, P. A. Torres-Carrasquillo, T. F. Quatieri, N. Malyska, and A. McCree, "Automatic Detection of Depression in Speech Using Gaussian Mixture Modeling with Factor Analysis," in INTERSPEECH-2011, Florence, Italy, 2011, pp. 2983-2986.
15. H. Hermansky, "Should recognizers have ears?," Speech Communication, vol. 25, pp. 3-27, 1998.
16. T. Kinnunen, K. A. Lee, and H. Li, "Dimension reduction of the modulation spectrogram for speaker verification," in The Speaker and Language Recognition Workshop (Odyssey 2008), Stellenbosch, South Africa, 2008.
17. W. Ziegler, "Task-Related Factors in Oral Motor Control: Speech and Oral Diadochokinesis in Dysarthria and Apraxia of Speech," Brain and Language, vol. 80, pp. 556-575, 2002.
18. T. F. Quatieri, Discrete-Time Speech-Signal Processing: Principles and Practice. Upper Saddle River, NJ 07458 Prentice Hall, 2001.
19. A. V. Ivanov and X. Chen, "Modulation Spectrum Analysis for Speaker Personality Trait Recognition," in INTERSPEECH-2012, Portland, U.S.A, 2012, p. NA.
20. L. Atlas and S. A. Shamma, "Joint acoustic and modulation frequency," EURASIP Journal on Applied Signal Processing, vol. 7, pp. 668-675, 2003.
21. S. Wu, T. H. Falk, and W.-Y. Chan, "Automatic speech emotion recognition using modulation spectral features," Speech Communication, vol. 53, pp. 768-785, 2011.
22. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten, "The WEKA data mining software: an update," SIGKDD Explor. Newsl., vol. 11, pp. 10-18, 2009.