Normal versus pathological voice signals

IEEE Engineering in Medicine and Biology Magazine

Volumn 28, Issue 5, 2009, Pages 44-48

  Fonseca, Everthon ^a   Pereira, Jose ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTICS; ADOLESCENT; ADULT; AGED; CHILD; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; FREQUENCY ANALYSIS; HUMAN; LARYNX DISORDER; MALE; PHONATION; PRESCHOOL CHILD; REINKE EDEMA; REVIEW; SCHOOL CHILD; SIGNAL PROCESSING; SUPPORT VECTOR MACHINE; VOCAL CORD; VOCAL CORD DISORDER; VOICE;

ADOLESCENT; ADULT; AGED; ARTIFICIAL INTELLIGENCE; CHILD; CHILD, PRESCHOOL; EDEMA; FEMALE; HUMANS; LEAST-SQUARES ANALYSIS; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; VOICE; VOICE DISORDERS;

EID: 70350638590     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/MEMB.2009.934248     Document Type: Review

References (20)

1. D. M. Bless, "Measurement of vocal function," Otolaryngol. Clin. North Amer., vol.24, no.5, pp. 1023-1033, 1991.
2. R. J. Baken, Clinical Measurement of Speech and Voice. San Diego, CA: Singular Publishing, 1996.
3. N. Isshiki, H. Okamura, M. Tanabe, and M. Morimoto, "Differential diagnosis of hoarseness," Folia Phoniatrica, vol.21, pp. 9-19, 1969.
4. R. C. Guido, J. C. Pereira, E. S. Fonseca, F. L. Sanchez, and L. S. Vieira, "Trying different wavelets on the search for voice disorders sorting," in Proc. IEEE Southeastern Symp. System Theory, 2005, vol.37, pp. 495-499.
5. S. Haddjitodorov, B. Boyanov, and B. Teston, "Laryngeal pathology detection by means of class-specific neural maps," IEEE Trans. Inform. Technol. Biomed., vol.4, no.1, pp. 89-93, 2000.
6. M. O. Rosa, J. C. Pereira, and M. Grellet, "Adaptive estimation of residue signal for voice pathology diagnosis," IEEE Trans. Biomed. Eng., vol.47, pp. 96-104, 2000.
7. S. Granqvist and B. Hammarberg, "The correlogram: A visual display of periodicity," J. Acoust. Soc. Amer., vol.114, no.5, pp. 2934-2945, Nov. 2003.
8. G. Strang and T. Nguyen, Wavelets and Filter Banks. Cambridge, MA: Wellesley-Cambridge, 1997.
9. S. G. Mallat, A Wavelet Tour of Signal Processing. San Diego, CA: Academic Press, 1999.
10. V. Vapnik, The Nature of Statistical Learning Theory. New York: Springer- Verlag, 1995.
11. J. A. K. Suykens and J. Vandewalle, "Least squares support vector machine classifiers," Neural Process. Lett., vol.9, no.3, pp. 293-300, 1999.
12. P. R. Scalassara, M. E. Dajer, C. D. Maciel, J. C. Pereira, and R. C. Guido, "Relative entropy measures applied to healthy and pathological voice characterization," Appl. Math. Computat., to be published.
13. I. C. Daubechies, Ten Lectures on Wavelets. Philadelphia, PA: SIAM, 1992.
14. E. S. Fonseca, R. C. Guido, P. R. Scalassara, C. D. Maciel, and J. C. Pereira, "Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders," Comput. Biol. Med., vol.37, pp. 571-578, 2006.
15. J. R. Deller, Jr., J. G. Proakis, and J. H. L. Hansen, Discrete-Time Processing of Speech Signals. New York: MacMillan, 1993.
16. C. J. C. Burges, "Geometry and invariance in kernel based methods," in Advance in Kernel Methods-Support Vector Learning. Cambridge, MA: MIT Press, 1999, pp. 89-116.
17. The MathWorks [Online]. Available: http://www.mathworks.com
18. R. C. Guido, L. S. Vieira, S. Barbon, Jr., F. L. Sanchez, C. D. Maciel, E. S. Fonseca, and J. C. Pereira, "A neural-wavelet architecture for voice conversion," Neurocomputing, vol.71, pp. 174-180, 2007.
19. E. S. Fonseca, R. C. Guido, C. D. Maciel, and J. C. Pereira, "Combination of LP inverse filter and DWT as a new parameter to identify pathology in voice signals," in Proc. 6th Brazilian Conf. Dynamics, Control and Their Applications, 2007.
20. L. Zhang, W. Zhou, and L. Jiao, "Wavelet support vector machine," IEEE Trans. Syst., Man Cybern. B, vol.34, 2004.