UC Berkeley Researchers Use AI For Digital Voicing Of Silent Speech

Researchers at UC Berkeley have developed an AI model that detects'silent speech.' The model is based on digital voicing to predict words and generate synthetic speech. Electromyography (EMG), with electrodes located at the face and throat, is used to detect the silent speech. Researchers assert that the model can enable many applications for people who cannot produce audible speech and assist speech detection for AI tools and additional devices that respond to voice commands. The team states that digitally voicing silent speech has broad applications.