Continuous Speech Recognition using EEG and Video
2019-12-16Unverified0· sign in to hype
Gautam Krishna, Mason Carnahan, Co Tran, Ahmed H. Tewfik
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In this paper we investigate whether electroencephalography (EEG) features can be used to improve the performance of continuous visual speech recognition systems. We implemented a connectionist temporal classification (CTC) based end-to-end automatic speech recognition (ASR) model for performing recognition. Our results demonstrate that EEG features are helpful in enhancing the performance of continuous visual speech recognition systems.