4 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…
Toward Robust EEG-based Intention Decoding during Misarticulated Speech in Dysarthria
Ha-Na Jo, Jung-Sun Lee, Eunyeong Ko
Dysarthria impairs motor control of speech, often resulting in reduced intelligibility and frequent misarticulations. Although interest in brain-computer interface technologies is…
Distinct Theta Synchrony across Speech Modes: Perceived, Spoken, Whispered, and Imagined
Jung-Sun Lee, Ha-Na Jo, Eunyeong Ko
Human speech production encompasses multiple modes such as perceived, overt, whispered, and imagined, each reflecting distinct neural mechanisms. Among these, theta-band synchrony…
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…