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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.
Its speed and accuracy have led many to note that its generated voices sound near-indistinguishable from "real life", provided that sufficient computational specifications and resources (e.g., a powerful GPU and ample RAM) are available when running it locally and that a high-quality voice model is used.
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 ...
Resemble AI, another voice clone developer, has proposed an “invisible watermark” to identify AI-generated speech. Resemble says the watermark is “imperceptible” and “difficult to remove.”
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 ...
While dozens of tools and products have popped up to try to detect AI-generated audio, those programs are inherently limited, experts told NBC News, and won’t provide a surefire way for anyone ...
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]
A report from the Centre for Countering Digital Hate warns that AI voice tools can easily be used to create political disinformation.
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