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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. WaveNet - Wikipedia

    en.wikipedia.org/wiki/WaveNet

    WaveNet is a deep neural network for generating raw audio. It was created by researchers at London-based AI firm DeepMind.The technique, outlined in a paper in September 2016, [1] is able to generate relatively realistic-sounding human-like voices by directly modelling waveforms using a neural network method trained with recordings of real speech.

  4. ElevenLabs - Wikipedia

    en.wikipedia.org/wiki/ElevenLabs

    These pre-designed voice profiles allow users to select a voice that best suits their needs, rather than creating one from scratch. [14] There are now more than 1,000 community-created voices in the library. Another tool called VoiceLab allows users to clone voices from just a few short snippets of audio and can create entirely new synthetic ...

  5. The company acknowledged the need for major changes as AI-generated audio becomes more widely available, although it doesn’t plan to release Voice Engine to the public immediately.

  6. Convert text to realistic speech using this AI software on sale

    www.aol.com/news/convert-text-realistic-speech...

    TL;DR: As of March 12, a lifetime subscription to TexTalky AI Text-to-Speech, worth $540 is 93% off, so you can get it for just $37.From marketing content and video narration to customer support ...

  7. Microsoft AI creates realistic speech with little training - AOL

    www.aol.com/news/2019-05-26-microsoft-ai...

    Microsoft and Chinese researchers might have a more effective way. They've crafted a text-to-speech AI that can generate realistic speech using just 200 voice samples (about 20 minutes' worth) and ...

  8. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    In March 2020, a Massachusetts Institute of Technology researcher under the pseudonym 15 demonstrated data-efficient deep learning speech synthesis through 15.ai, a web application capable of generating high-quality speech using only 15 seconds of training data, [6] [7] compared to previous systems that required tens of hours. [8]

  9. Some video game actors are letting AI clone their voices ...

    www.aol.com/news/video-game-actors-letting-ai...

    As video game worlds get more expansive, some game studios are experimenting with AI tools to give voice to a potentially unlimited number of characters and conversations.