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Speech Synthesis using EEG

arXiv 2002.12756 ↗First posted 22 Feb 2020eess.AS cs.LG cs.SDcited by 8

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Abstract (arXiv)

In this paper we demonstrate speech synthesis using different electroencephalography (EEG) feature sets recently introduced in [1]. We make use of a recurrent neural network (RNN) regression model to predict acoustic features directly from EEG features. We demonstrate our results using EEG features recorded in parallel with spoken speech as well as using EEG recorded in parallel with listening utterances. We provide EEG based speech synthesis results for four subjects in this paper and our results demonstrate the feasibility of synthesizing speech directly from EEG features.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Feb 2020.

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Citing papers per year: 2021: 4; 2022: 1; 2023: 1; 2024: 1; 2025: 1.

8 papers.