SiavashShams/neuro2semantic
[Interspeech2025] Official implementation of Neuro2Semantic A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG
This project helps neuroscientists and clinicians translate brain activity directly into spoken language. It takes continuous intracranial EEG (iEEG) recordings and converts them into fluent, reconstructed sentences, revealing the underlying semantic meaning from neural signals. Researchers in neuroscience, linguistics, and BCI development would use this.
No commits in the last 6 months.
Use this if you are a researcher working with intracranial EEG data and need to reconstruct continuous language from brain activity.
Not ideal if you are looking for a tool that works with non-invasive brain imaging methods or real-time communication for patients.
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Python
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Last pushed
Jun 07, 2025
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