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  2. 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.

  3. ElevenLabs - Wikipedia

    en.wikipedia.org/wiki/ElevenLabs

    Tim Green, former NFL player and author, utilizes ElevenLabs' AI voice cloning technology for his podcast, "Tim Green's Nothing Left Unsaid." [27] Diagnosed with a slow-progressing form of amyotrophic lateral sclerosis, Green's ability to communicate verbally has been affected. The AI technology allows him to host and engage in deep ...

  4. 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.

  5. AI voice cloning tools imitating political leaders threaten ...

    www.aol.com/ai-voice-cloning-tools-imitating...

    A report from the Centre for Countering Digital Hate warns that AI voice tools can easily be used to create political disinformation.

  6. Voice cloning startup Resemble AI Raises $8 million in Series A

    www.aol.com/news/voice-cloning-startup-resemble...

    Resemble AI, a San Francisco-based voice artificial intelligence startup, said on Wednesday it had raised $8 million in a funding round led by venture capital firm Javelin Ventures. Comcast ...

  7. 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.

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