Dissecting neural computations in the human auditory pathway using deep neural networks for speech

The human auditory system extracts rich linguistic abstractions from speech signals. Traditional approaches to understanding this complex process have used linear feature-encoding models, with limited success. Artificial neural networks excel in speech recognition tasks and offer promising computati...

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Detalles Bibliográficos
Autores principales: Li, Yuanning, Anumanchipalli, Gopala K., Mohamed, Abdelrahman, Chen, Peili, Carney, Laurel H., Lu, Junfeng, Wu, Jinsong, Chang, Edward F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689246/
https://www.ncbi.nlm.nih.gov/pubmed/37904043
http://dx.doi.org/10.1038/s41593-023-01468-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689246/
https://www.ncbi.nlm.nih.gov/pubmed/37904043
http://dx.doi.org/10.1038/s41593-023-01468-4

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