Advancing Speech Synthesis using EEG

In this paper we introduce an attention-regression model to demonstrate predicting acoustic features from electroencephalography (EEG) features recorded in parallel with spoken sentences with lower Mel cepstral distortion (MCD) values during test time compared to baseline results for the majority of the experiments. First, we demonstrate predicting acoustic features directly from EEG features usin...