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  2. Retrieval-based Voice Conversion - Wikipedia

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

    Retrieval-based Voice Conversion (RVC) is an open source voice conversion AI algorithm that enables realistic speech-to-speech transformations, accurately preserving the intonation and audio characteristics of the original speaker.

  3. Audio deepfake - Wikipedia

    en.wikipedia.org/wiki/Audio_deepfake

    Audio deepfake technology, also referred to as voice cloning or deepfake audio, is an application of artificial intelligence designed to generate speech that convincingly mimics specific individuals, often synthesizing phrases or sentences they have never spoken.

  4. Digital cloning - Wikipedia

    en.wikipedia.org/wiki/Digital_cloning

    Voice cloning is a case of the audio deepfake methods that uses artificial intelligence to generate a clone of a person's voice. Voice cloning involves deep learning algorithm that takes in voice recordings of an individual and can synthesize such a voice to the point where it can faithfully replicate a human voice with great accuracy of tone ...

  5. Voice Clone AI Scams: What You Need To Know About This ... - AOL

    www.aol.com/voice-clone-ai-scams-know-204012138.html

    Now, experts say, a 30-second TikTok clip or Facebook reel can give voice clone AI scammers all they need to develop a convincing conversation. AI software can convincingly fill in the ...

  6. Comparison of free software for audio - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_free...

    This comparison of free software for audio lists notable free and open ... A program for the analysis of speech in phonetics. ... Fast Tracker clone GPL-2.0-or-later:

  7. VALL-E - Wikipedia

    en.wikipedia.org/wiki/VALL-E

    VALL-E is a generative artificial intelligence system for speech synthesis developed by Microsoft Research and announced on January 5, 2023. [1] It can "recreate any voice from a three-second sample clip". [2] It has been trained on 60,000 hours of English language speech from Meta’s audio library LibriLight. [3]

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