
Rapid advances in neural decoding and brain-computer interfaces (BCIs) are transforming speech restoration for patients with paralysis, ALS, Parkinson’s disease, and severe brain injuries. New clinical findings highlight how high-density cortical implants paired with machine learning algorithms can translate neural signals into natural-sounding, expressive speech with minimal latency. Researchers note that the latest generation of neuroprosthetics goes beyond simple text generation, capturing vocal inflection and cadence to help non-speaking individuals communicate effortlessly.