4 citations · 10 across the 10 of their papers we have counts for
5 papers · 1 filter
Reconstructing Unseen Sentences from Speech-related Biosignals for Open-vocabulary Neural Communication
Deok-Seon Kim, Seo-Hyun Lee, Kang Yin +1
Brain-to-speech (BTS) systems represent a groundbreaking approach to human communication by enabling the direct transformation of neural activity into linguistic expressions. While…
Subject-Independent Classification of Brain Signals using Skip Connections
Soowon Kim, Ji-Won Lee, Young-Eun Lee +1
Untapped potential for new forms of human-to-human communication can be found in the active research field of studies on the decoding of brain signals of human speech. A brain-comp…
EEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech
Young-Eun Lee, Seo-Hyun Lee
Transformers are groundbreaking architectures that have changed a flow of deep learning, and many high-performance models are developing based on transformer architectures. Transfo…
Voice of Your Brain: Cognitive Representations of Imagined Speech,Overt Speech, and Speech Perception Based on EEG
Seo-Hyun Lee, Young-Eun Lee, Seong-Whan Lee
Every people has their own voice, likewise, brain signals dis-play distinct neural representations for each individual. Al-though recent studies have revealed the robustness of spe…
Functional Connectivity of Imagined Speech and Visual Imagery based on Spectral Dynamics
Seo-Hyun Lee, Minji Lee, Seong-Whan Lee
Recent advances in brain-computer interface technology have shown the potential of imagined speech and visual imagery as a robust paradigm for intuitive brain-computer interface co…