Voice Pathology Detection and Classification Using Auto-Correlation and Entropy Features in Different Frequency Regions

Voice Pathology Detection and Classification Using Auto-Correlation and Entropy Features in Different Frequency Regions

Automatic voice pathology detection and classification systems effectively contribute to the assessment of voice disorders, enabling the early detection of voice pathologies and the diagnosis of the type of pathology from which patients suffer. This paper concentrates on developing an accurate and r...

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Bibliographic Details
Main Authors: Ahmed Al-Nasheri, Ghulam Muhammad, Mansour Alsulaiman, Zulfiqar Ali, Khalid H. Malki, Tamer A. Mesallam, Mohamed Farahat Ibrahim
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Voice pathology detection and classification
frequency investigation
Arabic voice pathology database (AVPD)
Saarbrücken voice database (SVD)
Massachusetts eye and ear infirmary (MEEI)
Online Access:https://ieeexplore.ieee.org/document/7906604/

Internet

https://ieeexplore.ieee.org/document/7906604/

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