AI RESEARCH
iPhoneme: Brain-to-Text Communication for ALS Using ConformerXL Decoding
arXiv CS.CL
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ArXi:2604.16441v1 Announce Type: cross Brain-computer interfaces (BCIs) for speech restoration hold transformative potential for the approximately 173,000--232,500 individuals worldwide with ALS-related dysarthria. Despite recent progress, high-performance speech BCIs have been nstrated in only 22--31 patients globally, largely due to limitations in neural decoding accuracy and practical input interfaces. We present iPhoneme, a brain-to-text communication system that jointly addresses these challenges through integrated modeling and interaction design.