Spoken Speech Enhancement using EEG

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Oct 29, 2019
Gautam Krishna, Yan Han, Co Tran, Mason Carnahan, Ahmed H Tewfik
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In this paper we demonstrate spoken speech enhancement using electroencephalography (EEG) signals using a generative adversarial network (GAN) based model and Long short-term Memory (LSTM) regression based model. Our results demonstrate that EEG features can be used to clean speech recorded in presence of background noise.

* To be submitted to ICASSP 2020. arXiv admin note: text overlap with arXiv:1906.08044, arXiv:1906.08871, arXiv:1906.08045, arXiv:1908.05743  
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