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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Main Authors: | Al-Dhief, F. T., Baki, M. M., Abdul Latiff, N. M., Malik, N. N. N. A., Salim, N. S., Albader, M. A. A., Mahyuddin, N. M., Mohammed, M. A. |
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Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/95129/1/NurulMuazzahAbdulLatiff2021_VoicePathologyDetection.pdf http://eprints.utm.my/id/eprint/95129/ http://dx.doi.org/10.1109/ACCESS.2021.3082565 |
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