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Speed and Accuracy Views for CART Services

We just launched a new feature that allows attendees more control over their experience with CART services transcripts. The new feature, TOGGLE, allows attendees to choose their own preference of how the live text will be presented in their web browser, whether to see the draft transcript as quickly as possible or see the corrected transcript a few seconds later. The speed view shows the text straight from the speech-to-text engine (ASR). This will also be the default view when loading the attendees user interface. Any corrections identified by human transcribers will follow a few seconds after. The accuracy view displays texts after they are reviewed by human transcribers. Any human identifiable corrections and adjustments are shown here. This outputs a transcript that leverages accuracy over speed. The text will be displayed in regular black in this view. Read more.

How are subtitles, closed captions, and Subtitles for the Deaf and Hard of Hearing (SDH) different from each other?

Subtitles are designed for hearing users, as they only cover spoken text and do not include sound effects or other audio elements. SDH, on the other hand, are designed for those who are deaf or hard of hearing by including additional information, such as speaker tags, sound effects and other elements outside of the speech itself. Closed captions are required by law on all public broadcasts, as per FCC regulations, and are typically formatted as white text on a black background that can be positioned anywhere on the screen.

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What is real-time transcription/CART services?

This is the process of converting spoken audio into text in real time. Verbit’s real-time solution is fortified by smart AI technology to produce a highly accurate technical output that is corrected on the spot by professional type-correctors.

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What is the difference between transcription and captioning?

Transcription and captioning are two different solutions, both of which can be delivered live in real-time or when recorded content and events are captured. Transcription involves converting spoken audio or video into long-form text, often displayed in full and broken out by each speaker. It is typically used for search and recall, serving as notes. Captioning divides the transcribed text or spoken audio from a video into sections which are time-coded and synchronized with that video. It can be used during live events, such as meetings, conferences and lectures and appear on screen as well. Both can be done manually by listening to the audio and manually typing out the words, but with technologies like Verbit’s there is no need to type everything from scratch, as captions and transcripts can be generated automatically or by a team of human experts. Both are helpful for accessibility needs and engagement.