New Atlas: AI wearable gives a voice to people rendered speechless by strokes

AI wearable gives a voice to people rendered speechless by strokes

By Maryna Holovnova

January 21, 2026

The Revoice device uses two AI agents to detect the wearer's silently mouthed speech and emotional state, outputting speech via a synthetic voice module

The Revoice device uses two AI agents to detect the wearer’s silently mouthed speech and emotional state, outputting speech via a synthetic voice module

University of Cambridge

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Speech impairment, known as dysarthria, is a very common consequence of strokes, affecting nearly half of all survivors. A stroke can cause weakness in the facial muscles and vocal cords, making it difficult to speak fluently, clearly, or in full sentences. While most people eventually recover, the process is often slow and frustrating, and it significantly affects quality of life during rehabilitation.

Scientists at the University of Cambridge have been working to change this. Building on previous research, they have developed a wearable device called Revoice, designed to help people with dysarthria communicate more naturally.

“When people have dysarthria following a stroke, it can be extremely frustrating for them, because they know exactly what they want to say, but physically struggle to say it, because the signals between their brain and their throat have been scrambled by the stroke,” explains Prof. Luigi Occhipinti, one of the leaders of the research team.

Reading and reconstructing these signals is exactly what Revoice is intended to do. Since many patients eventually regain natural speech and only need temporary assistance, invasive solutions such as brain implants are often unnecessary. Revoice offers a non-invasive, wearable alternative.

One charge of Revoice's battery should be good for a full day of use
One charge of Revoice’s battery should be good for a full day of use

The device looks like a soft, adjustable choker with textile strain sensors and a wireless printed circuit board. Its integrated AI system decodes speech signals using two AI agents: one reconstructs words from silently mouthed speech and predicts phrases by reading vibrations in the throat muscles, while the other detects the emotional state of the patient by measuring neck pulse. This allows the device not only to reconstruct full sentences but also to make them emotionally resonant and logical.

Earlier silent-speech systems were mostly tested on healthy participants and lacked real-world application. They also required users to pause for one to three seconds between words, creating awkward unnatural delays in speech. Revoice overcomes those limitations by using an AI-driven throat sensor system and a lightweight large language model to convert mouthed words into complete sentences instantly.

A diagram showing how Revoice works
A diagram showing how Revoice works

After initial trial with healthy participants, the device went through some optimization and was later tested on five stroke patients, showing impressively low error rates of 4.2% for words and 2.9% for sentences. In one example, a patient mouthed the phrase “We go hospital,” which Revoice converted into “Even though it’s getting late, I’m still feeling uncomfortable. Can we go to the hospital now?”. Participants reported a 55% increase in user satisfaction and confirmed that the device enabled them to communicate as fluently as they did before the stroke.

The researchers believe that beyond stroke patients, the device could also help people with Parkinson’s disease and motor neuron disease.

Throat movements are detected via integrated strain sensors
Throat movements are detected via integrated strain sensors

Revoice is made from durable, breathable, and washable fabric, making it practical for daily use. It is powered by an 1,800-mWh battery, which is expected to last an entire day on a single charge. Before the product can reach market, it will need to undergo more extensive clinical trials. If successful, the research team plans to add support for multiple languages and a wider range of emotional expressions.

The study is described in a paper that was recently published in the journal Nature Communications.

Source: University of Cambridge
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About michelleclarke2015

Life event that changes all: Horse riding accident in Zimbabwe in 1993, a fractured skull et al including bipolar anxiety, chronic fatigue …. co-morbidities (Nietzche 'He who has the reason why can deal with any how' details my health history from 1993 to date). 17th 2017 August operation for breast cancer (no indications just an appointment came from BreastCheck through the Post). Trinity College Dublin Business Economics and Social Studies (but no degree) 1997-2003; UCD 1997/1998 night classes) essays, projects, writings. Trinity Horizon Programme 1997/98 (Centre for Women Studies Trinity College Dublin/St. Patrick's Foundation (Professor McKeon) EU Horizon funded: research study of 15 women (I was one of this group and it became the cornerstone of my journey to now 2017) over 9 mth period diagnosed with depression and their reintegration into society, with special emphasis on work, arts, further education; Notes from time at Trinity Horizon Project 1997/98; Articles written for Irishhealth.com 2003/2004; St Patricks Foundation monthly lecture notes for a specific period in time; Selection of Poetry including poems written by people I know; Quotations 1998-2017; other writings mainly with theme of social justice under the heading Citizen Journalism Ireland. Letters written to friends about life in Zimbabwe; Family history including Michael Comyn KC, my grandfather, my grandmother's family, the O'Donnellan ffrench Blake-Forsters; Moral wrong: An acrimonious divorce but the real injustice was the Catholic Church granting an annulment – you can read it and make your own judgment, I have mine. Topics I have written about include annual Brain Awareness week, Mashonaland Irish Associataion in Zimbabwe, Suicide (a life sentence to those left behind); Nostalgia: Tara Hill, Co. Meath.
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