Title :
Support vector machines and wavelets for voice disorder sorting
Author :
Guido, R.C. ; Pereira, Jose Casimiro ; Fonseca, E.S. ; Maciel, C.D. ; Vieira, L.S. ; Guilerme, F.L.S.M.B.A. ; Barbon, Sylvio
Author_Institution :
Dept. of Phys. & Inf., Sao Paulo Univ.
Abstract :
We present an algorithm to distinguish between pathological and normal human voice signals based on discrete wavelet transforms (DWT) and support vector machines (SVM). The former is used for time-frequency analysis and provides quantitative evaluation of signal characteristics. The latter is used for the final classification. The technique leads to an adequate larynx pathology classifier with over 95% of classification accuracy
Keywords :
acoustic signal processing; discrete wavelet transforms; support vector machines; time-frequency analysis; discrete wavelet transforms; larynx pathology classifier; support vector machines; time-frequency analysis; voice disorder sorting; Discrete wavelet transforms; Human voice; Multiresolution analysis; Pathology; Physics; Sorting; Support vector machine classification; Support vector machines; Time frequency analysis; Wavelet analysis;
Conference_Titel :
System Theory, 2006. SSST '06. Proceeding of the Thirty-Eighth Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-7803-9457-7
DOI :
10.1109/SSST.2006.1619117
