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  2. Audio deepfake - Wikipedia

    en.wikipedia.org/wiki/Audio_deepfake

    Audio deepfake technology, also referred to as voice cloning or deepfake audio, is an application of artificial intelligence designed to generate speech that convincingly mimics specific individuals, often synthesizing phrases or sentences they have never spoken.

  3. Text-to-video model - Wikipedia

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

    Fliki AI 2022 Released Text-to-video with AI avatars and voices, extensive language and voice support [40] Supports 65+ AI avatars and 2,000+ voices in 70 languages [40] Free plan available, Paid plans starting at $30/month Varies based on subscription 70+ Runway Gen-2 Runway AI 2023 Released Multimodal video generation from text, images, or ...

  4. 15.ai - Wikipedia

    en.wikipedia.org/wiki/15.ai

    15.ai was a free non-commercial web application that used artificial intelligence to generate text-to-speech voices of fictional characters from popular media.Created by an artificial intelligence researcher known as 15 during their time at the Massachusetts Institute of Technology, the application allowed users to make characters from video games, television shows, and movies speak custom ...

  5. AI slop - Wikipedia

    en.wikipedia.org/wiki/AI_slop

    "AI slop", often simply "slop", is a derogatory term for low-quality media, including writing and images, made using generative artificial intelligence technology. [ 4 ] [ 5 ] [ 1 ] Coined in the 2020s, the term has a derogatory connotation akin to " spam ".

  6. Hitler’s AI translated speeches go viral on TikTok - AOL

    www.aol.com/news/hitler-ai-translated-speeches...

    The video is of Hitler giving a speech with a slow instrumental beat that suggests the ruthless killer didn’t want to spark a conflict during World War II, that he tried to save the lives of ...

  7. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.

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