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There are two broad categories of interactive transcripts. The first, characterized by YouTube, has timings (in minutes and seconds) running down the left side of the transcript. Users click on a block of words to jump to the corresponding section in the video. The second, characterized by Ted Talks, has the transcript in a paragraph form.
Audio or video files can be transcribed manually or automatically. [1] Transcriptionists can replay a recording several times in a transcription editor and type what they hear. By using transcription hot keys, the manual transcription can be accelerated, the sound filtered, equalized or have the tempo adjusted when the clarity is not great.
Otter.ai was founded as AISense in 2016 by Sam Liang and Yun Fu, two computer science engineers with a long history of working with artificial intelligence. [ 2 ] [ 3 ] In January 2018, the company announced a partnership with Zoom Video Communications to transcribe video meetings post-conference. [ 4 ]
Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5]
Terms proposed included "AI garbage", "AI pollution", and "AI-generated dross". [5] Early uses of the term "slop" as a descriptor for low-grade AI material apparently came in reaction to the release of AI image generators in 2022. [7] Its early use has been noted among 4chan, Hacker News and YouTube commentators as a form of in-group slang. [7]
Speech to text (transcription of speech into text, real time video captioning, Court reporting ) Telematics (e.g. vehicle Navigation Systems) Transcription (digital speech-to-text) Video games, with Tom Clancy's EndWar and Lifeline as working examples; Virtual assistant (e.g. Apple's Siri)