AI Technology & Industry Review
In a new paper Decoding speech perception from non-invasive brain recordings, a research team from Meta AI, Inria Saclay and PSL University exhibits the remarkable capability to decode speech from brain signals recorded non-invasively through magneto-encephalography (MEG) or electro-encephalography (EEG).
Speech brain–computer interfaces (BCIs) is a innovate technology that establishes a communication channel between a user and certain devices viaContinue Reading
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.
PhD electronic researcher Ildar Rakhmatulin and brain-computer interface developer Sebastian Völkl open-source an inexpensive, high-precision, easy-to-maintain PIEEG board that can convert a Raspberry Pi into a brain-computer interface for measuring and processing eight real-time EEG (Electroencephalography) signals.