Voice pathology detection using machine learning algorithms based on different voice databases

Voice pathology detection using machine learning algorithms based on different voice databases

The application of machine learning in analyzing voice disorders has become crucial for non-invasive voice pathology detection using voice signals. However, current systems face challenges such as low detection accuracy, limited databases, and evaluation metrics. More importantly, most existing stud...

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Bibliographic Details
Main Authors: Nurul Mu'azzah Abdul Latiff, Fahad Taha Al-Dhief, Nurul Fariesya Suhaila Md Sazihan, Marina Mat Baki, Nik Noordini Nik Abd. Malik, Musatafa Abbas Abbood Albadr, Ali Hashim Abbas
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Engineering
Subjects:
Machine learning
Voice pathology detection
OSELM
SVM
DT
NB
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025000258
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