6 papers
Lightweight Diffusion-based Framework for Online Imagined Speech Decoding in Aphasia
Eunyeong Ko, Soowon Kim, Ha-Na Jo
Individuals with aphasia experience severe difficulty in real-time verbal communication, while most imagined speech decoding approaches remain limited to offline analysis or comput…
Subject-Independent Imagined Speech Detection via Cross-Subject Generalization and Calibration
Byung-Kwan Ko, Soowon Kim, Seo-Hyun Lee
Achieving robust generalization across individuals remains a major challenge in electroencephalogram based imagined speech decoding due to substantial variability in neural activit…
Confidence-Aware Neural Decoding of Overt Speech from EEG: Toward Robust Brain-Computer Interfaces
Soowon Kim, Byung-Kwan Ko, Seo-Hyun Lee
Non-invasive brain-computer interfaces that decode spoken commands from electroencephalogram must be both accurate and trustworthy. We present a confidence-aware decoding framework…
Towards Dynamic Neural Communication and Speech Neuroprosthesis Based on Viseme Decoding
Ji-Ha Park, Seo-Hyun Lee, Soowon Kim +1
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. A…
EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models
Soowon Kim, Ha-Na Jo, Eunyeong Ko
In this study, we propose an ensemble learning framework for electroencephalogram-based overt speech classification, leveraging denoising diffusion probabilistic models with varyin…
Dynamic Neural Communication: Convergence of Computer Vision and Brain-Computer Interface
Ji-Ha Park, Seo-Hyun Lee, Soowon Kim +1
Interpreting human neural signals to decode static speech intentions such as text or images and dynamic speech intentions such as audio or video is showing great potential as an in…