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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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Автори: Aurobindo S, Prakash R, Rajeshkumar M
Формат: Artigo
Мова:Inglês
Опубліковано: Elsevier 2025-03-01
Серія:Results in Engineering
Предмети:
Speech features
Dysarthria
Deep convolutional neural network
Severity classification
Time-frequency image representation
Онлайн доступ:http://www.sciencedirect.com/science/article/pii/S2590123025006395
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