Voice pathology detection with MDVP parameters using Arabic voice pathology database

Ahmed Al-Nasheri, Zulfiqar Ali, Ghulam Muhammad, Mansour Alsulaiman, Khalid H. Almalki, Tamer A. Mesallam, Mohamed Farahat

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 6 Aug 2015
Event5th National Symposium on Information Technology: Towards New Smart World, NSITNSW 2015 - Riyadh, Saudi Arabia
Duration: 17 Feb 201519 Feb 2015

Conference

Conference5th National Symposium on Information Technology: Towards New Smart World, NSITNSW 2015
CountrySaudi Arabia
CityRiyadh
Period17/02/1519/02/15

    Fingerprint

Keywords

  • AVPD
  • MDVP
  • MEEI
  • SVM
  • voice pathology detection

Cite this

Al-Nasheri, A., Ali, Z., Muhammad, G., Alsulaiman, M., Almalki, K. H., Mesallam, T. A., & Farahat, M. (2015). Voice pathology detection with MDVP parameters using Arabic voice pathology database. 1-5. Paper presented at 5th National Symposium on Information Technology: Towards New Smart World, NSITNSW 2015, Riyadh, Saudi Arabia. https://doi.org/10.1109/NSITNSW.2015.7176431