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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.
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]
Another ethical implication is the use of private and personal information one must give up to use the technology. Because digital cloning, deepfakes, and voice cloning all use a deep-learning algorithm, the more information the algorithm receives, the better the results are. [42]
The next year, he claims his voice was used on a podcast about the dangers of AI technologies. Likewise, Sage says she also discovered her voice in a YouTube video of a Lovo investor demonstrating ...
The platform is credited as the first mainstream service to popularize AI voice cloning (audio deepfakes) in memes and content creation, influencing subsequent developments in voice AI technology. [43] [44] In 2021, the emergence of DALL-E, a transformer-based pixel generative model, marked an advance in AI-generated imagery. [45]
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.
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