文章基本信息

标题：Computer Aided Recognition of Vocal Folds Disorders by Means of RASTA-PLP
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作者：Ali Saudi ; Aliaa A. A. Youssif ; Atef Z. Ghalwash 等
期刊名称：Computer and Information Science
印刷版ISSN：1913-8989
电子版ISSN：1913-8997
出版年度：2012
卷号：5
期号：2
页码：39
DOI：10.5539/cis.v5n2p39
出版社：Canadian Center of Science and Education
摘要：In the context of the recognition of vocal folds disorders, the systems based on acoustic analysis are being introduced as computer aided medical diagnosis tools due to its objectivity and noninvasive nature. Acoustic analysis is a complementary tool to those methods based on direct observation of the vocal folds by laryngoscopy; also, it can be used for the evaluation of surgical operation. This paper presents a novel approach in voice pathology assessment using RASTA-PLP feature extraction method in the framework of a HMM. The proposed method then compared to other feature extraction methods such as MFCC and PLP. The experimental results show that RASTA-PLP attained 92.86% correct classification rates and AUC of 0.94 compared to 0.81 and 0.79 for MFCC and PLP respectively.