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Meta AI & Inria Saclay Advance BCIs to Enable Natural Speech Decoding From Non-Invasive Brain Recordings
Sept. 7, 2022, 6:40 p.m. | Synced
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In the new paper Decoding Speech From Non-Invasive Brain Recordings, a research team from Meta AI and the Inria Saclay Centre presents a single end-to-end architecture for decoding natural speech processing from non-invasive magnetoencephalography (MEG) or electroencephalography (EEG) brain recordings that can detect macroscopic brain signals in real-time.
The post Meta AI & Inria Saclay Advance BCIs to Enable Natural Speech Decoding From Non-Invasive Brain Recordings first appeared on Synced.
ai artificial intelligence bci brain brain-computer interface deep-neural-networks eeg machine learning machine learning & data science meg meta meta ai ml natural research speech technology
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