EEG procedures can formulate letters and words from internal monologue.
Recent advances in brain-computer interfaces and deep neural networks demonstrate that EEG procedures can successfully decode and predict words and speech features from neural activity.
The retrieved papers consistently show that modern machine learning techniques applied to EEG data can decode speech envelopes and recognize imagined words.
Bernd Accou, Jonas Vanthornhout, Hugo Van hamme, Tom Francart. Decoding of the speech envelope from EEG using the VLAAI deep neural network. 2022. https://doi.org/10.1101/2022.09.28.509945
This study demonstrates that deep neural networks can decode speech and auditory features directly from EEG signals.
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Babu Chinta, Moorthi M. Brain Computer Interface -EEG Based Imagined Word Prediction Using Convolutional Neural Network Visual Stimuli for Speech Disability. 2021. https://doi.org/10.21203/rs.3.rs-1143834/v1
This research shows that convolutional neural networks can predict imagined words and visual stimuli from EEG recordings with high accuracy.
Babu Chinta, Moorthi M. Brain Computer Interface-EEG based Imagined Word Prediction Using Convolutional Neural Network Visual Stimuli for Speech Disability. 2022. https://doi.org/10.21203/rs.3.rs-1143834/v2
This study supports the capability of EEG-based brain-computer interfaces to recognize imagined words for speech assistance.
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