Voice Pathology Detection with MDVP Parameters Using Arabic Voice Pathology Database

被引：0

作者：

Al-nasheri, Ahmed ^{[1
]}

Ali, Zulfiqar ^{[1
,3
]}

Muhammad, Ghulam ^{[1
]}

Alsulaiman, Mansour ^{[1
]}

Almalki, Khalid H. ^{[2
]}

Mesallam, Tamer A. ^{[2
]}

Farahat, Mohamed ^{[2
]}

机构：

[1] King Saud Univ, Digital Speech Proc Grp, Dept Comp Engn, Coll Comp & Informat Sci, Riyadh 11543, Saudi Arabia

[2] King Saud Univ, Coll Med, Dept Otolaryngol, Riyadh 11543, Saudi Arabia

[3] Univ Tekhnol PETRONAS, Dept Elect & Elect Engn, CISIR, Tronoh 31750, Perak, Malaysia

来源：

2015 5TH NATIONAL SYMPOSIUM ON INFORMATION TECHNOLOGY: TOWARDS NEW SMART WORLD (NSITNSW) | 2015年

关键词：

voice pathology detection; AVPD; MDVP; SVM; MEEI;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper investigates the use of Multi-Dimensional Voice Program (MDVP) parameters to automatically detect voice pathology in Arabic voice pathology database (AVPD). MDVP parameters are very popular among the physician / clinician to detect voice pathology; however, MDVP is a commercial software. AVPD is a newly developed speech database designed to suit a wide range of experiments in the field of automatic voice pathology detection, classification, and automatic speech recognition. This paper is the first step to evaluate MDVP parameters in AVPD using sustained vowel /a/. The experimental results demonstrate that some of the acoustic features show an excellent ability to discriminate between normal and pathological voices. The overall best accuracy is 81.33% by using SVM classifier.

引用

页数：5

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