The researchers, led by University of East Anglia computer scientist Helen Bear, developed a new algorithm that would help machines better differentiate between those similar shapes with different sounds. The machine was trained to recognize the differences between these sounds using video and audio recordings of 12 people speaking 200 sentences. The computer was taught to map out the multiple sounds that each mouth shape could produce. The next step, as far as we could gather, is for the machine to make a copy of each word with the different sound options (for example, was that word pridge or bridge?) and train itself to find the right word.