Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders
- 1 April 2007
- journal article
- Published by Elsevier in Computers in Biology and Medicine
- Vol. 37 (4), 571-578
- https://doi.org/10.1016/j.compbiomed.2006.08.008
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognitionDigital Signal Processing, 2006
- A new efficient SVM-based edge detection methodPattern Recognition Letters, 2004
- Wavelet Support Vector MachineIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2004
- The correlogram: A visual display of periodicityThe Journal of the Acoustical Society of America, 2003
- Adaptive estimation of residue signal for voice pathology diagnosisIEEE Transactions on Biomedical Engineering, 2000
- Least Squares Support Vector Machine ClassifiersNeural Processing Letters, 1999
- Support-vector networksMachine Learning, 1995
- Introduction to wavelets in engineeringInternational Journal for Numerical Methods in Engineering, 1994
- Descriptions of the Speech of Patients with Cancer of the Vocal Folds. Part I: Measures of Fundamental FrequencyThe Journal of the Acoustical Society of America, 1971
- Differential Diagnosis of HoarsenessFolia Phoniatrica et Logopaedica, 1969