Decoding of selective attention to speech in CI patients using linear and non-linear methods
Constantin Jehn, Adrian Kossmann, Anja Hahne, Niki Vavatzanidis, Tobias Reichenbach · FENS Forum 2024
Aims: Recent research showed that selective attention to speech can be decoded from non-invasive EEG recordings [1]. This effect could potentially be applied in neuro-steered CIs, which could aid the wearer in noisy environments. Here we examine linear and non-linear decoding methods for selective attention, specifically for bimodal CI users, in a competing speaker scenario.Methods: EEG data was collected from 23 bimodal CI patients exposed to two competing speech stimuli emanating from spatially separated speakers. Patients were directed to focus on one speech stream during a given segment. D
ePoster · Neuroscience