  In this paper we explore continuous silent speech recognition using
electroencephalography (EEG) signals. We implemented a connectionist temporal
classification (CTC) automatic speech recognition (ASR) model to translate EEG
signals recorded in parallel while subjects were reading English sentences in
their mind without producing any voice to text. Our results demonstrate the
feasibility of using EEG signals for performing continuous silent speech
recognition. We demonstrate our results for a limited English vocabulary
consisting of 30 unique sentences.
