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A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .
Gnopernicus uses these in a number of places: to know when text should and should not be interrupted, to better concatenate speech, and to sequence speech in different voices. Benchmarks conducted by Sun in 2002 on Solaris showed that FreeTTS ran two to three times faster than Flite at the time.
From this a text-to-speech video is created to look and sound like the individual. [5] [6] Users create content via the platform's pre-generated AI presenters [3] or by creating digital representations of themselves, or personal avatars, using the platform's AI video editing tool. [7] These avatars can be used to narrate videos generated from text.
The Microsoft-backed company, which kicked off a generative AI craze with the launch of its ChatGPT chatbot in November 2022, aims to target similar text-to-video tools from Meta and Alphabet's ...
OpenAI released its video-to-text model Sora Monday. Openai Ceo ‘Not That Worried’ About Elon Musk's Relationship With Trump, Potential For ‘Un-american’ Lawfare Read On The Fox Business App
Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [ 6 ] 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. [ 4 ]
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