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  2. Audio deepfake - Wikipedia

    en.wikipedia.org/wiki/Audio_deepfake

    Audio deepfake. An audio deepfake (also known as voice cloning or deepfake audio) is a product of artificial intelligence [ 1] used to create convincing speech sentences that sound like specific people saying things they did not say. [ 2][ 3][ 4] This technology was initially developed for various applications to improve human life.

  3. Speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_synthesis

    Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware products. A text-to-speech ( TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic ...

  4. Speech-generating device - Wikipedia

    en.wikipedia.org/wiki/Speech-generating_device

    Speech-generating devices ( SGDs ), also known as voice output communication aids, are electronic augmentative and alternative communication (AAC) systems used to supplement or replace speech or writing for individuals with severe speech impairments, enabling them to verbally communicate. [ 1] SGDs are important for people who have limited ...

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    mail.aol.com

    You can find instant answers on our AOL Mail help page. Should you need additional assistance we have experts available around the clock at 800-730-2563.

  6. 15.ai - Wikipedia

    en.wikipedia.org/wiki/15.ai

    15.ai was designed and created by an anonymous research scientist affiliated with the Massachusetts Institute of Technology known by the alias 15. [38] According to posts made by its developer on Hacker News, 15.ai costs several thousands of dollars per month to operate; they are able to support the project due to a successful startup exit. [39]

  7. Text-to-image model - Wikipedia

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

    A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks. In 2022, the output of state-of-the-art text-to ...

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