Extracting the Auditory Attention in a Dual-Speaker Scenario From EEG Using a Joint CNN-LSTM Model

Human brain performs remarkably well in segregating a particular speaker from interfering ones in a multispeaker scenario. We can quantitatively evaluate the segregation capability by modeling a relationship between the speech signals present in an auditory scene, and the listener's cortical si...

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Detalles Bibliográficos
Autores principales: Kuruvila, Ivine, Muncke, Jan, Fischer, Eghart, Hoppe, Ulrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365753/
https://www.ncbi.nlm.nih.gov/pubmed/34408661
http://dx.doi.org/10.3389/fphys.2021.700655

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365753/
https://www.ncbi.nlm.nih.gov/pubmed/34408661
http://dx.doi.org/10.3389/fphys.2021.700655

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