Comparative analysis of different time-frequency image representations for the detection and severity classification of dysarthric speech using deep learning

Dysarthria, a speech disorder resulting from neurological damage, presents significant challenges in clinical diagnosis and assessment. Traditional methods of dysarthria detection are often time-consuming and require expert interpretation. This study analyzes various time-frequency image representat...

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Detalles Bibliográficos

Autores principales:	Aurobindo S, Prakash R, Rajeshkumar M
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2025-03-01
Colección:	Results in Engineering
Materias:	Speech features Dysarthria Deep convolutional neural network Severity classification Time-frequency image representation
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2590123025006395
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