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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 ]
A range of audio programmes will have transcripts produced using an artificial intelligence tool as part of a three-month trial of the technology. BBC Sounds launches trial of generative AI ...
SRT, SSA, SBV, VTT, DFXP, ITT, SCC and CAP formats. [2] Cloud platform with subtitle editor and workflow tools for collaborative captioning and subtitling, including making corrections to machine-generated captions. Add-ons include automatic speech recognition. Gnome Subtitles: GPL Linux Yes
Aegisub is a subtitle editing application. It is the main tool used for fansubbing, the practice of creating or translating unofficial subtitles for visual media by fans. [3] It is the successor of the original SubStation Alpha and Sabbu. Aegisub's design emphasizes timing, styling of subtitles, and the creation of karaoke videos.
Video generated by Sora with prompt Borneo wildlife on the Kinabatangan River. Generative AI trained on annotated video can generate temporally-coherent, detailed and photorealistic video clips. Examples include Sora by OpenAI, [12] Gen-1 and Gen-2 by Runway, [76] and Make-A-Video by Meta Platforms. [77]
There are several architectures that have been used to create Text-to-Video models. Similar to Text-to-Image models, these models can be trained using Recurrent Neural Networks (RNNs) such as long short-term memory (LSTM) networks, which has been used for Pixel Transformation Models and Stochastic Video Generation Models, which aid in consistency and realism respectively. [31]