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Machine-Learning Aided Device Promises Voice Recovery
Updated On: 24 March, 2024 07:55 AM IST | Mumbai | A Correspondent
The innovation, part of Chen’s broader efforts to aid those with disabilities, marks a significant advance in non-invasive voice recovery solutions

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A ground-breaking device developed by University of California Los Angeles (UCLA) engineers promises to help individuals with voice disorders speak again. The team, led by Jun Chen, an assistant professor of bioengineering, has created a soft, thin patch that attaches to the skin outside the throat. The bioelectric system uses machine-learning technology to translate throat muscle movements into speech with nearly 95 per cent accuracy. Detailed in Nature Communications, the device comprises a self-powered sensor that detects muscle movements and an actuator that converts these into audible speech. The innovation, part of Chen’s broader efforts to aid those with disabilities, marks a significant advance in non-invasive voice recovery solutions.
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