期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：70
期号：3
出版社：Journal of Theoretical and Applied
摘要：In order to improve the assessment of speech disorders in the context of Parkinson's disease, we have used 34 voice recordings of sustained vowel / a /, from 34 subjects including 17 patients with Parkinson�s disease. We subsequently extracted from 1 to 20 coefficients of the Perceptual linear prediction (PLP) from each subject. The frames of the PLP were compressed using vector quantization, with six Codebook sizes. We used Leave One Subject Out validation scheme known as (LOSO) and the Support Vector Machines (SVM) classifier with its different types of kernels, (i.e.; RBF, Linear). After viewing the variety of obtained results, we proceeded to a bench of 100 trials. The best average result obtained was 75.79%, and the maximum result obtained was 91.17% using the codebook size of 1.
关键词：Voice analysis; Parkinson�s disease; Perceptual Linear Prediction; Vector quantization. Leave One Subject Out; Support Vector Machines.
