Real-time decoding of full-spectrum Chinese using brain-computer interface
Summary
This study demonstrates a real-time Mandarin speech BCI that decodes monosyllabic units directly from neural signals using a 256-channel microelectrocorticographic BCI. The system achieved robust decoding of 394 distinct syllables with median accuracy of 71.2% in single-character reading tasks, and further demonstrated real-time sentence decoding. This represents a major advance for tonal language neural prosthetics.
Why it matters
Speech BCIs for tonal languages like Mandarin have lagged behind English systems. This work opens the door to communication prosthetics for hundreds of millions of speakers of tonal languages worldwide, including patients with ALS and locked-in syndrome who lose the ability to speak.
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