Without some sort of automation, closed captioning is a very time consuming process. Why automated closed captioning is important How speech recognition and auto closed captioning works.Why automated closed captioning is important.The article then concludes with a few tips to keep in mind when looking for a solution that automates closed captioning.įor more information on this topic, including how to succeed with automated closed captioning and what to expect, also be sure to download our in-depth How Can AI Elevate Your Closed Captioning Solutions? white paper as well. This includes many behind the scenes aspects that go into how AI approaches the task of transcribing audio. This article examines why automating caption generation is important before diving into how speech recognition and other elements combine to provide an accurate experience. ![]() ![]() While the stream is live, the generated_live track will be available and include predicted text for the audio.Īt the end of the stream, the generated_live_final track will transition from the preparing to ready state this track will include finalized predictions of text and result in higher-accuracy, better-timed text.Īfter the live event has concluded, the playback experience of the asset created will only include the more accurate generated_live_final track, but the sidecar VTT files for both tracks will continue to exist.How does automated closed captioning work? What elements improve or impact the accuracy for artificial intelligence (AI) driven captioning? Step 2: Start your live streamĪt the start of the Live Stream, two text tracks will be created for the active asset, with text_source attributes of generated_live and generated_live_final, respectively.
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