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Dataset Information

Cognitive component of auditory attention to natural speech events.


ABSTRACT: The recent progress in auditory attention decoding (AAD) methods is based on algorithms that find a relation between the audio envelope and the neurophysiological response. The most popular approach is based on the reconstruction of the audio envelope from electroencephalogram (EEG) signals. These methods are primarily based on the exogenous response driven by the physical characteristics of the stimuli. In this study, we specifically investigate higher-level cognitive responses influenced by auditory attention to natural speech events. We designed a series of four experimental paradigms with increasing levels of realism: a word category oddball paradigm, a word category oddball paradigm with competing speakers, and competing speech streams with and without specific targets. We recorded EE

SUBMITTER: Nguyen NDT 

PROVIDER: S-EPMC11743694 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature