Tag: speech-decoding

4 articles

Industry News

Neuralink discloses direct thought-to-audio speech decoding in ALS participant Terry, the VOICE trial's third implantee

Neuralink published a video this week showing Terry, a married man with bulbar-onset ALS, saying 'Hello, how are you doing today?' and 'I, I love you' to his wife through an implanted N1 brain-computer interface. The output routed through Grok Voice, xAI's speech engine, using a clone of Terry's own pre-ALS recordings. It is Neuralink's most detailed publicly disclosed thought-to-speech demonstration to date and the first to route through xAI's Grok Voice engine for personalised voice synthesis. Another VOICE participant, Kenneth Shock, appeared in a Neuralink clip on 16 September 2026, two days before Terry's disclosure, saying 'I love you' to his wife. Terry is the third participant in Neuralink's VOICE early-feasibility trial (ClinicalTrials.gov NCT07224256), formally titled 'VOICE: An Early Feasibility Study of a Precise Robotically Implanted Brain-Computer Interface for Communication Restoration.' VOICE is a separate protocol from Neuralink's PRIME motor-decoding trial and its CAN-PRIME and GB-PRIME international arms. The N1 implant holds an FDA Breakthrough Device Designation; it is not FDA-approved and not commercially available. Prior Neuralink participants Noland Arbaugh (PRIME P1), Alex (PRIME P2), and Brad Smith (PRIME first ALS participant) are on the motor decoding track. Brad Smith's earlier speech restoration used cursor-typed text through a cloned voice; Terry's demonstration is the first Neuralink disclosure of direct neural-to-audio decoding. Neuralink has not published words-per-minute, word-error-rate, latency, or vocabulary-size metrics. No peer-reviewed methods paper accompanies the demonstration.

Sep 23

Research

UCSF brain-computer interface decodes speech and body gestures simultaneously from a single cortical implant

A Nature Neuroscience paper published on 14 September 2026 by Samantha C. Brosler, Jessie R. Liu, Alexander B. Silva and senior author Edward F. Chang at UCSF reports the first single-implant, single-session, real-time simultaneous decoding of speech and upper-body gestures in people with paralysis. Two of three BRAVO-trial participants (Bravo-1r, brainstem stroke, seven years enrolled; Bravo-6, ALS, implanted March 2025) controlled a personalized virtual avatar with parallel speech and gesture decoders reading from a 253-channel high-density ECoG surface array manufactured by PMT Corporation. Bravo-1r reached median 100 percent accuracy on both decoders in the real-time conversation paradigm; Bravo-6 reached 85 percent gesture and 75 percent speech. The design finding is that multimodal neural signals are not the linear sum of isolated speech and gesture signals: decoders trained on simultaneous data outperform decoders trained on isolated data, and cross-training drops opposite-modality false-positive rates from 76 percent (Bravo-1r) and 31 percent (Bravo-6) to zero. Chang has stated a fully implantable wireless successor is the next step. Hardware footprint is PMT surface ECoG plus a Blackrock Neurotech digital headstage per prior Chang-lab methods, with no overlap with Neuralink Threads, Paradromics Connexus, or Synchron Stentrode. This is the fourth UCSF Chang-lab BRAVO paper in the peer-reviewed communication-BCI sequence: Moses NEJM 2021, Metzger Nature 2023, Littlejohn Nature Neuroscience 2025, Brosler Nature Neuroscience 2026.

Sep 18