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University of California, San Francisco and UC Berkeley

Verified evidenceCreator to judge

AI speech neuroprosthesis for text, audio, and avatar control

Attempted-speech brain signals can produce real-time text, audio, and facial animation as a faster channel.

Clinical operations · California, United States

Collections: Human still decides · Regulated autonomy

An editorial scene for University of California, San Francisco and UC Berkeley contrasts uses head tracking to select letters on a commercial assistive device. with attempts to speak while 253 cortical electrodes capture speech-motor signals. in the ai speech neuroprosthesis for text, audio, and avatar control workflow.

Executive brief

The operating-model shift, in one view.

A breakthrough accessibility outcome can coexist with material error, invasiveness, and single-user limits; all belong in the case.

AI value · Communication rate

Verified

Median real-time decoding rate of 78.3 words per minute.

Single-participant investigational system, not an approved general product.

Before

Uses head tracking to select letters on a commercial assistive device. → Reads the slowly composed text.

After

Attempts to speak while 253 cortical electrodes capture speech-motor signals. → Decodes text and synthesizes speech and avatar movements in real time.

Human boundary

The participant owns intended communication and decides use; clinical teams control the investigational device and safety.

Why it matters

Attempted-speech brain signals can produce real-time text, audio, and facial animation as a faster channel.

How the work changed

Before

How the work ran before the change.

  1. Step 1 of 2

    Participant

    Uses head tracking to select letters on a commercial assistive device.

    ControlUser intent and device selection.

  2. Step 2 of 2

    Communication partner

    Reads the slowly composed text.

    ControlHuman clarification.

What changed

Attempted-speech brain signals can produce real-time text, audio, and facial animation as a faster channel.

Decision rightHuman moves from creator to judge

After

How the same work runs now.

  1. Step 1 of 2

    Participant

    Attempts to speak while 253 cortical electrodes capture speech-motor signals.

    ControlParticipant-initiated use and clinical trial protocol.

  2. Step 2 of 2

    AI decoder

    Decodes text and synthesizes speech and avatar movements in real time.

    ControlLanguage model, confidence, and user correction.

Process model built from the published workflow evidence for University of California, San Francisco and UC Berkeley. Every step, actor, and control appears in full below.
Every step, actor, and control

Exception path

Incorrect text is corrected or repeated; the participant can revert to the existing assistive device.

Work removed

  • Letter-by-letter composition for many utterances

Decision authority

The participant owns intended communication and decides use; clinical teams control the investigational device and safety.

Before

  1. 01

    Participant

    Uses head tracking to select letters on a commercial assistive device.

    Control: User intent and device selection.

  2. 02

    Communication partner

    Reads the slowly composed text.

    Control: Human clarification.

After

  1. 01

    Participant

    Attempts to speak while 253 cortical electrodes capture speech-motor signals.

    Control: Participant-initiated use and clinical trial protocol.

  2. 02

    AI decoder

    Decodes text and synthesizes speech and avatar movements in real time.

    Control: Language model, confidence, and user correction.

Work that left the path

  • Letter-by-letter composition for many utterances

Human role before

The participant selected letters slowly with head tracking.

Human role after

The participant communicates through attempted speech and judges or corrects decoded output; clinicians maintain the implant and trial.

AI roleDecision mode: assistive neural decoding. Maps brain activity to communication outputs; it does not infer consent or make care decisions.

Outcomes

Communication rate

Verified

14.2 words per minute with the participant's commercial head-tracking device.Median real-time decoding rate of 78.3 words per minute.

Nature study reported August 2023. · One clinical-trial participant with severe paralysis.

Single-participant investigational system, not an approved general product.

Text decoding error

Verified

Naturalistic speech speed and accuracy were previously elusive for neuroprostheses.Median word error rate of 25%.

Study evaluation. · Large-vocabulary real-time decoding for one participant.

A 25% error rate requires correction and limits high-stakes communication.

What leaders can reuse

Anti-pattern

Calling an investigational single-participant result a deployable cure.

Questions

  1. 01How is consent verified when decoding is wrong?
  2. 02What noninvasive alternatives remain?
  3. 03How durable is calibration?

Portability conditions

  • Clinical oversight
  • Individual calibration
  • Fallback communication
  • User-controlled correction

Reputation risk

medium

Evidence and authority

What the public record supports.

Current · updated

1 peer reviewed; publication outcomes are verified.

Bundle 1.0.0 · reviewed 2026-08-23 · stable ID c42c26c667a37013

Related transformations

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Sources

Read the evidence, freshness, caveat, and version policy.