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Journal of Healthcare Engineering
Volume 2017, Article ID 8783751, 13 pages
https://doi.org/10.1155/2017/8783751
Research Article

Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms

1ENT Department, College of Medicine, King Saud University, Riyadh, Saudi Arabia
2Digital Speech Processing Group, Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

Correspondence should be addressed to Zulfiqar Ali; moc.liamg@0002ttubraqifluz

Received 14 December 2016; Revised 4 April 2017; Accepted 2 May 2017; Published 19 October 2017

Academic Editor: Tiago H. Falk

Copyright © 2017 Tamer A. Mesallam et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Tamer A. Mesallam, Mohamed Farahat, Khalid H. Malki, et al., “Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms,” Journal of Healthcare Engineering, vol. 2017, Article ID 8783751, 13 pages, 2017. https://doi.org/10.1155/2017/8783751.