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The performance of automatic speech recognition systems(ASR) degrades in thepresence of noisy speech. This paper demonstrates that usingelectroencephalography (EEG) can help automatic speech recognition systemsovercome performance loss in the presence of noise. The paper also shows thatdistillation training of automatic speech recognition systems using EEGfeatures will increase their performance. Finally, we demonstrate the abilityto recognize words from EEG with no speech signal on a limited Englishvocabulary with high accuracy.

Speech Recognition with no speech or with noisy speech