Selective Auditory Attention Detection Using Combined Transformer and Convolutional Graph Neural Networks

Selective Auditory Attention Detection Using Combined Transformer and Convolutional Graph Neural Networks

Attention is one of many human cognitive functions that are essential in everyday life. Given our limited processing capacity, attention helps us focus only on what matters. Focusing attention on one speaker in an environment with many speakers is a critical ability of the human auditory system. Thi...

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Bibliographic Details
Main Authors:	Masoud Geravanchizadeh, Amir Shaygan Asl, Sebelan Danishvar
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Bioengineering
Subjects:	selective auditory attention detection graph neural network transformer convolutional neural networks brain connectivity hybrid neural networks
Online Access:	https://www.mdpi.com/2306-5354/11/12/1216
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