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eess.AS2023
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG
Soowon Kim, Young-Eun Lee, Seo-Hyun Lee +1
Decoding EEG signals for imagined speech is a challenging task due to the high-dimensional nature of the data and low signal-to-noise ratio. In recent years, denoising diffusion pr…
eess.AS2023
Towards Voice Reconstruction from EEG during Imagined Speech
Young-Eun Lee, Seo-Hyun Lee, Sang-Ho Kim +1
Translating imagined speech from human brain activity into voice is a challenging and absorbing research issue that can provide new means of human communication via brain signals.…