This AI tech can understand words that are not even spoken out loud

Researchers at Pohang University of Science and Technology (POSTECH) have developed a breakthrough wearable technology that can convert silent speech into audible voice by reading subtle neck muscle movements. The study, led by Professor Sung-Min Park and Dr. Sunguk Hong, was published in Cyborg and Bionic Systems, marking a significant step forward in human-machine communication.

From Muscle Movements To Spoken Words

The innovation is built on a simple but powerful idea: speech is not just about sound. When a person speaks – or even attempts to speak silently – tiny movements occur in the muscles and skin around the neck. These movements form a kind of “invisible map” of intended speech.

To capture this, the researchers created a wearable device called a multiaxial strain mapping sensor. The system combines a miniature camera with flexible silicone embedded with reference markers, allowing it to detect

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