Home / Technology / Article / Machine-Learning Aided Device Promises Voice Recovery

Machine-Learning Aided Device Promises Voice Recovery

The innovation, part of Chen’s broader efforts to aid those with disabilities, marks a significant advance in non-invasive voice recovery solutions

Listen to this article :
Representation Pic

Representation Pic

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.

Nvidia launches new chip for AI and Graphic cards

How do you like the new new mid-day.com experience? Share your feedback and help us improve.

Read Next Story
7 Reasons not to buy a PC in 2024

Trending Stories

Latest Photoscta-pos

Latest VideosView All

Latest Web StoriesView All

Mid-Day FastView All

Advertisement