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  2. Project Debater - Wikipedia

    en.wikipedia.org/wiki/Project_Debater

    To develop Project Debater, the IBM Research team had to endow the system [19] with the following AI capabilities: Data-driven speech writing and delivery: Project Debater is the first demonstration of a computer that can digest massive corpora, and given a short description of a controversial topic, write a well-structured speech, and deliver ...

  3. 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]

  4. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative AI can also be trained extensively on audio clips to produce natural-sounding speech synthesis and text-to-speech capabilities, exemplified by ElevenLabs' context-aware synthesis tools or Meta Platform's Voicebox. [47] AI-generated music from the Riffusion Inference Server, prompted with bossa nova with electric guitar

  5. 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]

  6. Perplexity.ai - Wikipedia

    en.wikipedia.org/wiki/Perplexity.ai

    Perplexity AI is an AI-powered research and conversational search engine that answers queries using natural language predictive text .Launched in 2022, Perplexity generates answers using sources from the web and cites links within the text response. [ 2] Perplexity works on a freemium model; the free product uses the company's standalone large ...

  7. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    e. 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 (vocoder). Deep neural networks (DNN) are trained using a large amount of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.

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