Voice Pathology Detection and Classification by Adopting Online Sequential Extreme Learning Machine

Voice Pathology Detection and Classification by Adopting Online Sequential Extreme Learning Machine

In the last decade, the implementation of machine learning algorithms in the analysis of voice disorder is paramount in order to provide a non-invasive voice pathology detection by only using audio signal. In spite of that, most recent systems of voice pathology work on a limited acoustic database....

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Bibliographic Details
Main Authors: Fahad Taha Al-Dhief, Marina Mat Baki, Nurul Mu'azzah Abdul Latiff, Nik Noordini Nik Abd. Malik, Naseer Sabri Salim, Musatafa Abbas Abbood Albader, Nor Muzlifah Mahyuddin, Mazin Abed Mohammed
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Machine learning
healthcare
voice pathology detection
pathologies classification
OSELM
MFCC
Online Access:https://ieeexplore.ieee.org/document/9438683/

Internet

https://ieeexplore.ieee.org/document/9438683/

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