Interra Systems announced BATON Captions, a new addition to its BATON platform. Leveraging machine learning (ML) and automatic speech recognition technology, BATON Captions is intended to simplify the creation, management, and delivery of captions for traditional TV and video streaming, from caption generation to QC, auto corrections, review, and editing.
"Captions have long been mandated by all major broadcasters, and now with the rise in global consumption of online content, captions and subtitles represent an amazing opportunity for television viewers to watch and comprehend foreign-language content with ease. However, captions can be tedious and expensive to produce. Also, when transitional issues happen throughout the file-based workflow, the delivery of captions becomes more complex," said Anupama Anantharaman, vice president, product management at Interra. "BATON Captions leverages our industry-proven expertise in captions and subtitles QC to simplify this process and improve workflow efficiency. Using this solution, broadcasters and media companies can ensure that when content is delivered in multiple video quality levels within OTT video streams, the captions maintain a high quality."
BATON Captions is designed to report on any drop or inaccuracy in captions and audio, as well as compliance issues, providing automated options for correcting alignment, text, and spelling mistakes. Captions can be checked against actual audio essence, corrected, and exported to any industry-supported caption format. It also features auto time stamping with speech recognition technology to add accurate time to dialogs in scripts.
Web-services-based API support is intended to let BATON Captions be integrated with third-party tools, and it can be deployed on premises or in the cloud. The application comes with a review and editing platform with frame-accurate playback options, as well as support for several subtitle and closed caption formats.
Interra will demonstrate BATON Captions at the 2020 NAB Show in April in Las Vegas.