Preprint
Sep 2026
Brain2Speech-Net: Intelligible, Real-Time Brain-to-Speech Synthesis Without Text Decoding
Brain2Speech-Net is presented, among the first single-stage frameworks to remain intelligible under limited data while removing intermediate text decoding, and achieves strong intelligibility in objective and listening tests while running faster than real time.
Shreeram Suresh Chandra, Ze-Xin Cai, Yu Tsao et al.
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