Laryngeal pathology detection using EMD-based voice acoustic features analysis and SVM-RBF
- DOI
- 10.11591/ijeecs.v40.i2.pp640-653
- Published
- 2025-11-01
- Container
- Indonesian Journal of Electrical Engineering and Computer Science
- Publisher
- Institute of Advanced Engineering and Science
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.11591/ijeecs.v40.i2.pp640-653,
title = {Laryngeal pathology detection using EMD-based voice acoustic features analysis and SVM-RBF},
author = {Sofiane Cherif and Abdelhafid Kaddour and Abdelmoudjib Benkada and Said Karoui and Ouissem Chibani Bahi and Asmaa Bouzid Daho},
year = {2025},
journal = {Indonesian Journal of Electrical Engineering and Computer Science},
doi = {10.11591/ijeecs.v40.i2.pp640-653},
url = {https://doi.org/10.11591/ijeecs.v40.i2.pp640-653}
}RIS
TY - JOUR TI - Laryngeal pathology detection using EMD-based voice acoustic features analysis and SVM-RBF AU - Sofiane Cherif AU - Abdelhafid Kaddour AU - Abdelmoudjib Benkada AU - Said Karoui AU - Ouissem Chibani Bahi AU - Asmaa Bouzid Daho PY - 2025 JO - Indonesian Journal of Electrical Engineering and Computer Science DO - 10.11591/ijeecs.v40.i2.pp640-653 UR - https://doi.org/10.11591/ijeecs.v40.i2.pp640-653 ER -
APA
Cherif, S., Kaddour, A., Benkada, A., Karoui, S., Bahi, O. C., & Daho, A. B. (2025). Laryngeal pathology detection using EMD-based voice acoustic features analysis and SVM-RBF. Indonesian Journal of Electrical Engineering and Computer Science. https://doi.org/10.11591/ijeecs.v40.i2.pp640-653
Source records
- crossref · retrieved 2026-09-25T18:14:34.886Z