Robust EEG-Based Decoding of Auditory Attention With High-RMS-Level Speech Segments in Noisy Conditions

The attended speech stream can be detected robustly, even in adverse auditory scenarios with auditory attentional modulation, and can be decoded using electroencephalographic (EEG) data. Speech segmentation based on the relative root-mean-square (RMS) intensity can be used to estimate segmental cont...

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Detalles Bibliográficos
Autores principales: Wang, Lei, Wu, Ed X., Chen, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576187/
https://www.ncbi.nlm.nih.gov/pubmed/33132874
http://dx.doi.org/10.3389/fnhum.2020.557534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576187/
https://www.ncbi.nlm.nih.gov/pubmed/33132874
http://dx.doi.org/10.3389/fnhum.2020.557534

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