| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7533578 | Journal of Voice | 2016 | 13 Pages |
Abstract
The developed system can effectively be used in voice pathology detection and classification systems, and the proposed features can visually differentiate between normal and pathological samples.
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Authors
Zulfiqar Ali, Irraivan Elamvazuthi, Mansour Alsulaiman, Ghulam Muhammad,