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Reading: UCLA Engineers Develop Revolutionary Speech Device for Vocal Cord Challenges
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UCLA Speech Device Technology
PhotoNews Pakistan > Tech > UCLA Engineers Develop Revolutionary Speech Device for Vocal Cord Challenges
Tech

UCLA Engineers Develop Revolutionary Speech Device for Vocal Cord Challenges

Web Desk
By Web Desk Published March 19, 2024 2 Min Read
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UCLA engineers have unveiled pioneering technology that could significantly benefit individuals with communication impairments. This technology could potentially alter communication methods for those affected by laryngeal cancer surgeries or vocal cord dysfunctions. Nature Communications highlighted this device, comparable in size to an inch square, which is placed on the skin near the throat. It harnesses bioelectric signals from larynx muscles to produce highly accurate speech, achieving nearly 95% precision.

The device, conceptualized by Jun Chen and his team, integrates a self-powered sensor and an actuator, both embedded in silicone and activated by magnetic layers. This sensor captures motion from the laryngeal muscles using magnetoelastic technology, converting it into electrical signals. A machine-learning algorithm then processes these signals to create speech outputs. The actuator transforms these signals into audible speech.

Speaking without vocal cords, thanks to UCLA #bioengineers' new AI-assisted device. Adhesive neck patch translates muscle movements into speech, aiding voice disorders. Just 1.2" in size, 7g weight, 0.06" thick. Empowering those with #disabilities to speak freely. #UCLA #AI pic.twitter.com/TSNvpvwTza

— GMV (@Globalmarketvue) March 17, 2024

With its minimal weight of 7 grams and a thickness of just 0.06 inches, the device remains discreet and is secured to the throat with biocompatible tape. This innovative solution stands out for its noninvasiveness and simplicity, contrasting with other more complicated or intrusive methods. It is, therefore, an ideal option for individuals undergoing treatment or recovery.

During its testing phase on a healthy demographic, the device demonstrated remarkable precision, accurately interpreting vocal cord movements into predetermined sentences, thus enabling silent communication.

The research team anticipates future enhancements in machine learning to broaden the device’s vocabulary, planning subsequent trials with individuals experiencing speech disorders. This advancement can potentially transform the lives of millions facing communication challenges.

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