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End-to-End Model-Based Detection of Infants with Autism Spectrum Disorder Using a Pretrained Model
In this paper, we propose an end-to-end (E2E) neural network model to detect autism spectrum disorder (ASD) from children’s voices without explicitly extracting the deterministic features. In order to obtain the decisions for discriminating between the voices of children with ASD and those with typi...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823402/ https://www.ncbi.nlm.nih.gov/pubmed/36616801 http://dx.doi.org/10.3390/s23010202 |