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

In this paper, a novel method for detecting of laryngeal pathologies using deep neural networks and time–frequency signal processing techniques is presented. The proposed approach combines empirical mode decomposition (EMD) and wavelet analysis to extract discriminative features from healthy and pat...

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Detalhes bibliográficos

Principais autores:	Cherif Sofiane, Kaddour Abdelhafid, Benkada Abdelmoudjib, Karoui Said
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Sciendo 2025-10-01
coleção:	Measurement Science Review
Assuntos:	laryngeal pathology detection voice signal processing empirical mode decomposition mel-spectrogram scalogram alexnet convolutional neural network
Acesso em linha:	https://doi.org/10.2478/msr-2025-0030
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