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  2. Sora (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Sora_(text-to-video_model)

    A video is generated in latent space by denoising 3D "patches", then transformed to standard space by a video decompressor. Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7]

  3. Speechify - Wikipedia

    en.wikipedia.org/wiki/Speechify

    Speechify is a mobile, chrome extension and desktop app that reads text aloud using a computer-generated text to speech voice. [1] [2] [3]The app also uses optical character recognition technology to turn physical books or printed text into audio which can be played in your own voice or in that of a celebrity.

  4. Synthesia (company) - Wikipedia

    en.wikipedia.org/wiki/Synthesia_(company)

    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.

  5. ChatGPT isn't the only cool AI tool made by OpenAI — check ...

    www.aol.com/chatgpt-isnt-only-cool-ai-181415871.html

    OpenAI has other AI tools like Sora, which quickly creates videos from text prompts. Another, Whisper, transcribes and translates speech into text.

  6. ElevenLabs - Wikipedia

    en.wikipedia.org/wiki/ElevenLabs

    ElevenLabs is primarily known for its browser-based, AI-assisted text-to-speech software, Speech Synthesis, which can produce lifelike speech by synthesizing vocal emotion and intonation. [10] The company states that its models are trained to interpret the context in the text, and adjust the intonation and pacing accordingly. [ 11 ]

  7. Text-to-video model - Wikipedia

    en.wikipedia.org/wiki/Text-to-video_model

    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 .

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