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Speech Recognition using EEG signals recorded using dry electrodes

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Document pages: 4 pages

Abstract: In this paper, we demonstrate speech recognition using electroencephalography(EEG) signals obtained using dry electrodes on a limited English vocabularyconsisting of three vowels and one word using a deep learning model. Wedemonstrate a test accuracy of 79.07 percent on a subset vocabulary consistingof two English vowels. Our results demonstrate the feasibility of using EEGsignals recorded using dry electrodes for performing the task of speechrecognition.

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