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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 1 of 1 1 Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals ... Lee, Keon-Woo; Lee, Dae-Hyeok; Kim, Sung-Jin; Lee, Seong-Whan. - : arXiv, 2022 Abstract: Speech impairments due to cerebral lesions and degenerative disorders can be devastating. For humans with severe speech deficits, imagined speech in the brain-computer interface has been a promising hope for reconstructing the neural signals of speech production. However, studies in the EEG-based imagined speech domain still have some limitations due to high variability in spatial and temporal information and low signal-to-noise ratio. In this paper, we investigated the neural signals for two groups of native speakers with two tasks with different languages, English and Chinese. Our assumption was that English, a non-tonal and phonogram-based language, would have spectral differences in neural computation compared to Chinese, a tonal and ideogram-based language. The results showed the significant difference in the relative power spectral density between English and Chinese in specific frequency band groups. Also, the spatial evaluation of Chinese native speakers in the theta band was distinctive during the ... : Accepted in EMBC 2022 ... Keyword: FOS Biological sciences; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Human-Computer Interaction cs.HC; Neurons and Cognition q-bio.NC; Signal Processing eess.SP URL: https://arxiv.org/abs/2204.07362 https://dx.doi.org/10.48550/arxiv.2204.07362 BASE Hide details

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