Detection of Laryngeal Pathologies from Voice using EMD-based Mel-Spectrograms and Scalograms with AlexNet

Signals, Systems, and Data Laboratory (LSSD), Electronics Department, Faculty of Electrical Engineering, University of Sciences and Technology of Oran Mohamed Boudiaf (USTO MB), Oran, Algeria

Abdelhafid Kaddour

Signals, Systems, and Data Laboratory (LSSD), Electronics Department, Faculty of Electrical Engineering, University of Sciences and Technology of Oran Mohamed Boudiaf (USTO MB), Oran, Algeria

Abdelmoudjib Benkada

Signals, Systems, and Data Laboratory (LSSD), Electronics Department, Faculty of Electrical Engineering, University of Sciences and Technology of Oran Mohamed Boudiaf (USTO MB), Oran, Algeria

Said Karoui

Signals, Systems, and Data Laboratory (LSSD), Electronics Department, Faculty of Electrical Engineering, University of Sciences and Technology of Oran Mohamed Boudiaf (USTO MB), Oran, Algeria

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DOI: https://doi.org/10.2478/msr-2025-0030 | Journal eISSN: 1335-8871

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Language: English

Page range: 276 - 283

Submitted on: Oct 21, 2024

Accepted on: Aug 28, 2025

Published on: Oct 15, 2025

Published by: Slovak Academy of Sciences, Institute of Measurement Science

In partnership with: Paradigm Publishing Services

Publication frequency: Volume open

Keywords:

laryngeal pathology detection,

voice signal processing,

empirical mode decomposition,

Mel-spectrogram,

scalogram,

AlexNet convolutional neural network

Related subjects:

Engineering,

Electrical engineering,

Control engineering, metrology and testing

© 2025 Sofiane Cherif, Abdelhafid Kaddour, Abdelmoudjib Benkada, Said Karoui, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 25 (2025): Issue 5 (October 2025)