TranStutter: A Convolution-Free Transformer-Based Deep Learning Method to Classify Stuttered Speech Using 2D Mel-Spectrogram Visualization and Attention-Based Feature Representation

Stuttering, a prevalent neurodevelopmental disorder, profoundly affects fluent speech, causing involuntary interruptions and recurrent sound patterns. This study addresses the critical need for the accurate classification of stuttering types. The researchers introduce “TranStutter”, a pioneering Con...

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Detalles Bibliográficos
Autores principales: Basak, Krishna, Mishra, Nilamadhab, Chang, Hsien-Tsung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575465/
https://www.ncbi.nlm.nih.gov/pubmed/37836863
http://dx.doi.org/10.3390/s23198033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575465/
https://www.ncbi.nlm.nih.gov/pubmed/37836863
http://dx.doi.org/10.3390/s23198033

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