Interra Systems, a leading global provider of software products and solutions to the digital media industry, today announced BATON LipSync, an automated tool for lip sync detection and verification. BATON LipSync leverages machine learning (ML) technology and deep neural networks to automatically detect audio and video sync errors. Using BATON LipSync, broadcasters and service providers can accurately detect audio lead and lag issues in media content in order to provide a superior quality of experience to viewers.
"Lip sync errors are annoying and distracting and negatively impact overall viewing experiences," said Anupama Anantharaman, vice president of product management at Interra Systems. "With our BATON LipSync product, we're extending our video quality control expertise to help address the difficult problem of audio-video sync using advanced image processing and machine learning technologies. In addition to solving the problem of detection, accompanying debug information and comprehensive reporting will go a long way in assuring audio-video sync accuracy and helping our customers to deliver a more satisfying viewing experience."