Seo-Hyun Lee — accepted AI-conference papers

2025

Towards Dynamic Neural Communication and Speech Neuroprosthesis Based on Viseme Decoding

Ji-Ha Park, Seo-Hyun Lee, Soowon Kim, Seong-Whan Lee

ICASSP 2025accepted

Decoding text, speech, or images from human neural signals holds promising potential both as neuroprosthesis for patients and as innovative communication tools for general users. Although neural signals contain various information on speech intentions, movements, and phonetic details, generating inf…

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2023

Towards Voice Reconstruction from EEG during Imagined Speech

Young-Eun Lee, Seo-Hyun Lee, Sang-Ho Kim, Seong-Whan Lee

AAAI 2023technical

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. Efforts to reconstruct speech from brain activity have shown their potential using invasive measures of spoken speech da…

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