relation: https://khub.utp.edu.my/scholars/5805/
title: Voice pathology detection with MDVP parameters using Arabic voice pathology database
creator: Al-Nasheri, A.
creator: Ali, Z.
creator: Muhammad, G.
creator: Alsulaiman, M.
creator: Almalki, K.H.
creator: Mesallam, T.A.
creator: Farahat, M.
description: This paper investigates the use of MultiDimensional 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. © 2015 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2015
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Al-Nasheri, A. and Ali, Z. and Muhammad, G. and Alsulaiman, M. and Almalki, K.H. and Mesallam, T.A. and Farahat, M.  (2015) Voice pathology detection with MDVP parameters using Arabic voice pathology database.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964033974&doi=10.1109%2fNSITNSW.2015.7176431&partnerID=40&md5=1148ce43257f3b39f17c6439227a60aa
relation: 10.1109/NSITNSW.2015.7176431
identifier: 10.1109/NSITNSW.2015.7176431