BATON LipSync is an automated tool for lip sync detection and verification. BATON LipSync leverages image processing and 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 (QoE) to viewers.
BATON LipSync application is capable of performing facial detection, facial tracking, lip detection, lip activity detection, and speech identification. Sync errors can be debugged further in the BATON Media Player (BMP) through a feature-rich interface that plots out-of-sync audio and video errors on a skew timeline for better visualization. After errors are detected, BATON LipSync provides a comprehensive report of all the LipSync issues.
Available content can be checked in any language independent of the region and area. Offering support for most industry formats, BATON LipSync meets media professionals’ complex requirements for delivering high-quality multiscreen video. BATON LipSync can be seamlessly integrated into any existing content processing workflow, or it can be used as a stand-alone application.
BATON LipSync answers a critical industry need by replacing a time-consuming, expensive manual process with faster and more accurate machine-assisted detection.