3 papers
q-bio.NC2026
A 1000-hour EEG-EMG-audio dataset of Japanese speech production
Motoshige Sato, Ilya Horiguchi, Masakazu Inoue +6
We present a multimodal dataset of 1020 hours of simultaneously recorded scalp electroencephalography (EEG), facial electromyography (EMG), and speech audio from three healthy nati…
q-bio.QM2025
A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations
Masakazu Inoue, Motoshige Sato, Kenichi Tomeoka +5
Silent speech decoding, which performs unvocalized human speech recognition from electroencephalography/electromyography (EEG/EMG), increases accessibility for speech-impaired huma…
q-bio.NC2024
Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data
Motoshige Sato, Kenichi Tomeoka, Ilya Horiguchi +3
Brain-computer interfaces (BCIs) hold great potential for aiding individuals with speech impairments. Utilizing electroencephalography (EEG) to decode speech is particularly promis…