AI Has Beaten Humans at Lip-reading
Lip-reading is notoriously difficult, depending as much on context and knowledge of language as it does on visual clues. But researchers are showing that machine learning can be used to discern speech from silent video clips more effectively than professional lip-readers can.
In one project, a team from the University of Oxford’s Department of Computer Science has developed a new artificial-intelligence system called LipNet. As Quartz reported, its system was built on a data set known as GRID, which is made up of well-lit, face-forward clips of people reading three-second sentences. Each sentence is based on a string of words that follow the same pattern.
Find out more at: https://www.technologyreview.com/s/602949/ai-has-beaten-humans-at-lip-reading/?utm_campaign=site_visitor.unpaid.engagement&utm_source=linkedin&utm_medium=add_this&utm_content=2019-01-16
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