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  2. eSpeak - Wikipedia

    en.wikipedia.org/wiki/ESpeak

    eSpeak is a free and open-source, cross-platform, compact, software speech synthesizer.It uses a formant synthesis method, providing many languages in a relatively small file size. eSpeakNG (Next Generation) is a continuation of the original developer's project with more feedback from native speakers.

  3. Microsoft text-to-speech voices - Wikipedia

    en.wikipedia.org/wiki/Microsoft_text-to-speech...

    None of these voices match the Cortana text-to-speech voice which can be found on Windows Phone 8.1, Windows 10, and Windows 10 Mobile. In an attempt to unify its software with Windows 10 , all of Microsoft's current platforms use the same text-to-speech voices except for Microsoft David and a few others.

  4. 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.

  5. TeamSpeak - Wikipedia

    en.wikipedia.org/wiki/TeamSpeak

    TeamSpeak (TS) is a proprietary voice-over-Internet Protocol (VoIP) application service for audio communication between users on a chat channel, much like a telephone conference call. The client software connects to a TeamSpeak server of the user's choice, from which the user may join chat channels.

  6. Discord - Wikipedia

    en.wikipedia.org/wiki/Discord

    Discord is an instant messaging and VoIP social platform which allows communication through voice calls, video calls, text messaging, and media.Communication can be private or take place in virtual communities called "servers".

  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.