Author

Carrina Iacobacci

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Open access Jul 2026

Brain2voice 2.0: High-performance voice synthesis brain-computer interface

It is demonstrated for the first time crossing the intelligibility threshold necessary for clinically viable brain-to-voice BCIs for people with paralysis, and brain2voice 2.0 demonstrates that highly intelligible real-time voice synthesis from neural signals is achievable.

M. Wairagkar, Aparna Srinivasan, N. Card et al. · bioRxiv · 0 citations

Open access Jul 2026

A generalizable speech neuroprosthesis

A transformer-based decoder model trained jointly across six intracortical speech BCI participants reveals how to pool intracortical data across people to yield more accurate, generalizable, and rapidly-deployable decoding models.

Zachery M. Fogg, N. Card, M. Wairagkar et al. · bioRxiv · 0 citations