We also talked about the importance of proper data splitting when training deep learning models, as improper training can lead to overly optimistic results.
We developed a new method using brainwaves (EEG) and deep learning to understand how listeners with hearing impairment focus their attention in noisy environments.
🔬 Happy to share our latest paper, where we have improved auditory attention classification for subjects with low accuracy using domain adaptation —a powerful transfer learning method.📷 https://t.co/9tC4SgDnPB
Happy to announce our new preprint where we compare predictors from both simple and complex peripheral auditory models for estimating ABR TRFs from EEG
https://t.co/ejhP2BaLc4