Artificial Intelligence Learns to Improve Lip Reading Accuracy

Posted April 22nd, 2016 at 10:43 am (UTC-4) Screenshots from  Professor Helen Bear of the University of East Anglia (UEA)  show the range of features captured for improving lip reading accuracy. The green marks relate to key points used in Active Appearance Models when tracking a speaker’s face. (UEA) Accurate lip reading is notoriously hard under ordinary circumstances and gets harder and less reliable in noisy conditions. But one team of researchers is putting artificial intelligence and machine learning to work to improve accuracy in the hope that it will one day benefit forensic experts and the hearing-impaired. Ordinary people lip read all the time in noisy conditions, pairing audible words with lip movements. But their lip reading “is really quite unreliable,” said Richard Harvey of Britain’s University of East…


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