Furthermore, they found that machines are able to exploit very simplistic features that represent only the shape of the face, whereas human lip-readers require full video of people speaking.
They found that the automated system significantly outperformed the human lip-readers –scoring a recognition rate of 80 per cent, compared with only 32 per cent for human viewers on the same task.