Improving EEG based continuous speech recognition using GAN

29 May 2020 Gautam Krishna Co Tran Mason Carnahan Ahmed Tewfik

In this paper we demonstrate that it is possible to generate more meaningful electroencephalography (EEG) features from raw EEG features using generative adversarial networks (GAN) to improve the performance of EEG based continuous speech recognition systems. We improve the results demonstrated by authors in [1] using their data sets for for some of the test time experiments and for other cases our results were comparable with theirs... (read more)

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