Recognition of Bengali Vowels from Auditory Evoked Potentials Using CNN
Published in IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON), 2024, 2024
This work explores auditory evoked potentials (AEP) as a modality for recognizing Bengali vowels from EEG recordings. A convolutional neural network (CNN) is trained on features derived from AEP signals to classify different vowel stimuli.
The proposed model demonstrates that robust vowel recognition is feasible from non-invasive EEG, contributing to the development of language-specific brain–computer interface systems.
Recommended citation: Tithi Das, Md Raihan Khan, and Md Mahbub Hasan, "Recognition of Bengali Vowels from Auditory Evoked Potentials Using CNN," IEEE SPICSCON 2024.
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