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arXiv · 1912.07730

Continuous Speech Recognition using EEG and Video

Gautam Krishna·Mason Carnahan·Co Tran·Ahmed H Tewfik
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Abstract

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.

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Gautam Krishna, Mason Carnahan, Co Tran, Ahmed H Tewfik. 2019-12-16. Continuous Speech Recognition using EEG and Video. https://arxiv.org/abs/1912.07730

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