UTran-DSR: a novel transformer-based model using feature enhancement for dysarthric speech recognition

Abstract Over the past decade, the prevalence of neurological diseases has significantly risen due to population growth and aging. Individuals suffering from spastic paralysis, brain attack, and idiopathic Parkinson’s disease (PD), among other neurological illnesses, commonly suffer from dysarthria....

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Principais autores:	Usama Irshad, Rabbia Mahum, Ismaila Ganiyu, Faisal Shafique Butt, Lotfi Hidri, Tamer G. Ali, Ahmed M. El-Sherbeeny
Format:	Artigo
Jezik:	Inglês
Izdano:	SpringerOpen 2024-10-01
Serija:	EURASIP Journal on Audio, Speech, and Music Processing
Teme:	Dysarthria speech recognition Transformer encoder Deep learning Vision transformer Feature enhancement block
Online dostop:	https://doi.org/10.1186/s13636-024-00368-0
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