Algorithm Achieves Better Accuracy Than Humans at Reading Lips

Researchers at the University of East Anglia in the UK developed an algorithm that is able to interpret mouthed words with a greater degree of accuracy than human lip readers. Using Tesla K80 GPUs, the researchers trained a deep learning model to recognize mouth shapes corresponding to certain sounds as they are spoken, without any audio input