Automating Closed Caption Verification, Timing, and Language Identification

The rapid increase in content due to growth in OTT, foreign distribution, and broadcast channels, combined with recent regulatory requirements related to closed captions accuracy, synchronicity, and completeness, have created scalability and cost-management challenges faced by both video program owners and distributors worldwide. — These challenges are too significant for manual approaches, but can be automated to ensure that all caption files correctly appear against the right media in the right language at the right time. This paper describes the technology behind automated speech analysis that not only flags and reports, but also corrects captions within an accelerated QC automation process.

Published

2014-10

Content type

Original Research

Keywords

Closed captioning, QC, caption verification, caption alignment, language identification, caption timing, caption retiming, video description, FCC Caption Quality, caption standards, CVAA, Ofcom, subtitles

DOI

10.5594/M001553

ISBN

978-1-61482-954-6