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...
Main Authors: | Ahmed Al-Nasheri, Ghulam Muhammad, Mansour Alsulaiman, Zulfiqar Ali, Khalid H. Malki, Tamer A. Mesallam, Mohamed Farahat Ibrahim |
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Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7906604/ |
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