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  2. Retrieval-based Voice Conversion - Wikipedia

    en.wikipedia.org/wiki/Retrieval-Based_Voice...

    In contrast to text-to-speech systems such as ElevenLabs, RVC differs by providing speech-to-speech outputs instead.It maintains the modulation, timbre and vocal attributes of the original speaker, making it suitable for applications where emotional tone is crucial.

  3. Speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_synthesis

    This is an accepted version of this page This is the latest accepted revision, reviewed on 17 December 2024. Artificial production of human speech Automatic announcement A synthetic voice announcing an arriving train in Sweden. Problems playing this file? See media help. Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech ...

  4. 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.

  5. This text-to-speech converter features hundreds of voices - AOL

    www.aol.com/news/text-speech-converter-features...

    TL;DR: As of September 14, you can get the Lifetime Subscription to Micmonster AI Voiceovers for just $59 instead of $119 — that's a 50% discount.Whether you’re a content creator, website ...

  6. FreeTTS - Wikipedia

    en.wikipedia.org/wiki/FreeTTS

    Gnopernicus uses these in a number of places: to know when text should and should not be interrupted, to better concatenate speech, and to sequence speech in different voices. Benchmarks conducted by Sun in 2002 on Solaris showed that FreeTTS ran two to three times faster than Flite at the time.

  7. 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]

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