EEG
This page groups the current SSI review database by the real `modality:` tag `modality:eeg`.
The list below includes every paper page that currently carries this technique label.
Papers
Physiological Noise Augmentation Improves Non-Invasive Brain-to-Speech
Introducing PNA, the paper advances non-invasive brain-to-speech decoding by creating artifact-informed augmentations via ICA, significantly improving imagined speech classification accuracy on MEG data when combined with trial averaging.
A 1000-hour EEG-EMG-audio dataset of Japanese speech production
A 1020-hour multimodal EEG-EMG-audio dataset for Japanese overt speech vastly expands data resources, enabling diverse speech decoding and EEG research, though generalization is limited by three participants and no decoding benchmarks are presented.
Towards Neural Decoding of Imagined Speech based on Spoken Speech
Transfer of CSP+SVM models trained on spoken speech EEG to imagined speech achieves comparable, though slightly lower, accuracy within a limited 5-class, 7-subject offline EEG setup, with visual imagery control supporting specificity.
A comparison of oscillatory characteristics in covert speech and speech perception
Strong covert-speech EEG analysis, not an SSI system.
Continuous Silent Speech Recognition using EEG
Real EEG sentence-level silent speech recognition is demonstrated but at very high WER, confirming feasibility only and underscoring the immature state of current EEG silent speech technology.
A Novel Task-Oriented Text Corpus in Silent Speech Recognition and its Natural Language Generation Construction Method
Useful EEG-SSR corpus framing paper, but evidence is lighter than a full benchmark paper.