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  2. Lyra (virtual assistant) - Wikipedia

    en.wikipedia.org/wiki/Lyra_(virtual_assistant)

    Lyra, until 2017 marketed under the name Indigo, is an intelligent personal assistant developed by Artificial Solutions and which runs on Android and iOS.The application uses natural language understanding to answer a user's questions on a variety of topics, make recommendations and operate the user's device.

  3. Speech Recognition & Synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_Recognition_&_Synthesis

    Apps such as textPlus and WhatsApp use Text-to-Speech to read notifications aloud and provide voice-reply functionality. Google Cloud Text-to-Speech is powered by WaveNet, [5] software created by Google's UK-based AI subsidiary DeepMind, which was bought by Google in 2014. [6] It tries to distinguish from its competitors, Amazon and Microsoft. [7]

  4. List of presentation programs - Wikipedia

    en.wikipedia.org/wiki/List_of_presentation_programs

    Tools. Tools. move to sidebar hide. Actions Read; ... WPS Office Presentation - Android, iOS, Fire OS, Linux ... Text is available under the Creative Commons ...

  5. Generative artificial intelligence - Wikipedia

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

    The company integrated Gemini Pro into its Bard chatbot and announced plans for "Bard Advanced" powered by the larger Gemini Ultra model. [53] In February 2024, Google unified Bard and Duet AI under the Gemini brand, launching a mobile app on Android and integrating the service into the Google app on iOS. [54]

  6. 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.

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

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

    Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [ 7 ] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [ 5 ]

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