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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 .
TransTool - open source transcription tool; VeonStudio by Veon; Validator: SMIL 1.0, SMIL 2.0, SMIL 2.0 Basic and XHTML+SMIL by CWI. 3TMAN allows to easily author the complex multimedia projects and then can export the multimedia projects to the Html+time and/or SMIL formats; Demos. SMIL 2.0 Feature-by-feature demos by RealNetworks
Several other text-to-video generating models had been created prior to Sora, including Meta's Make-A-Video, Runway's Gen-2, and Google's Lumiere, the last of which, as of February 2024, is also still in its research phase. [3]
In May 2020, the app started supporting transcription in Albanian, Burmese, Estonian, Macedonian, Mongolian, Punjabi, and Uzbek, supporting 70 languages. [14] In March 2022, the app was updated with support to transcribe offline, without Internet connection, so long as the appropriate language pack has been installed. [15]
Otter.ai, Inc. is an American transcription software company based in Mountain View, California. The company develops speech to text transcription applications using artificial intelligence and machine learning. Its software, called Otter, shows captions for live speakers, and generates written transcriptions of speech. [1]
In September 2023, OpenAI announced DALL-E 3, a more powerful model better able to generate images from complex descriptions without manual prompt engineering and render complex details like hands and text. [234] It was released to the public as a ChatGPT Plus feature in October. [235]
Generator name HTML CHM RTF PDF LaTeX PostScript man pages DocBook XML EPUB; Ddoc: Yes Yes [a] No Yes [a] Yes [a] Yes [a] Yes [a] No Yes [a] No Document! X Yes Yes No No No No No No No No Doxygen: Yes Yes Yes Indirectly [b] Yes Indirectly [b] Yes Yes Yes No Epydoc: Yes No No Yes Indirectly [c] Indirectly [c] No No No No fpdoc: Yes Native Yes ...
YouTube and similar sites do not have editorial oversight engaged in scrutinizing content, so editors need to watch out for the potential unreliability of the user uploading the video. Editors should also attempt to make sure that the video has not been edited to present the information out of context or inaccurately.