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