Identifying healthy and pathologically affected voice signals [Lecture notes]

IEEE Signal Processing Magazine

Volumn 27, Issue 1, 2010, Pages 120-123

  MacIel, Carlos Dias ^a   Pereira, José Carlos ^a   Stewart, David ^b  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b UNIVERSITY OF IOWA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICAL SYSTEMS; ENTROPY; FEATURE EXTRACTION; LINEAR ALGEBRA;

ENTROPY MEASURE; ENTROPY VALUE; LECTURE NOTES; PATHOLOGIC CONDITIONS; SIGNAL PROCESSING CONCEPTS; STANDARD ERRORS; VOICE PRODUCTION; VOICE SIGNALS;

SIGNAL PROCESSING;

EID: 85032751055     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/MSP.2009.934925     Document Type: Article

References (10)

1. L. Deng and O. O'Shaughnessy, Speech Processing: A Dynamic and Optimization-Oriented Approach. New York: Marcel Dekker, 2003.
2. P. Lieberman, "Some acoustic measures of the fundamental periodicity of normal and pathologic larynges," J. Acoust. Soc. Amer., vol.35, no.3, pp. 344-353, 1963.
3. M. O. Rosa, J. C. Pereira, and M. Grellet, "Adaptive estimation of residue signal for voice pathology diagnosis," IEEE Trans. Biomed. Eng., vol.47, no.1, pp. 96-104, 2000.
4. E. S. Fonseca, R. C. Guido, P. R. Scalassara, C. D. Ma-ciel, and J. C, Pereira, "Wavelet time-frequency analysis and least-squares support vector machine for the identification of voice disorders," Comput. Biol. Med., vol.37, no.4, pp. 571-578, 2007.
5. P. R. Scalassara, C. D. Maciel, R. C. Guido, J. C, Pereira, E. Fonseca, A. N. Montagnoli, S. Barbon Jr., L. S. Vieira, and F. L. Sanchez, "Autoregressive decomposition and pole tracking applied to vocal folds nodule identification," Pattern Recogn. Lett., vol.28, no.11, pp. 1360-1367, 2007.
6. A. Kumar and S. K. Mullick, "Nonlinear dynamical analysis of speech," J. Acoustic Soc. Amer., vol.100, no.1, pp. 615-629, July 1996.
7. H. Kantz and T. Schreiber, Nonlinear Time Series Analysis, 2nd ed. Cambridge, U.K.: Cambridge Univ. Press, 2004.
8. R. Kleeman, "Measuring dynamical prediction utility using relative entropy," J. Atmos. Sci., vol.59, no.13, pp. 2057-2072, 2002.
9. J. M. Amigó, L. Kocarev, and I. Tomovski, "Discrete entropy," Physica D, vol.228, no.1, pp. 77-85, 2007.
10. T. M. Cover and J. A. Thomas, Elements of Information Theory. New York: Wiley, 1991.