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Concept
15.ai
Summary
15.ai is a non-commercial freeware artificial intelligence web application that generates natural emotive high-fidelity text-to-speech voices from an assortment of fictional characters from a variety of media sources. Developed by a pseudonymous MIT researcher under the name 15, the project uses a combination of audio synthesis algorithms, speech synthesis deep neural networks, and sentiment analysis models to generate and serve emotive character voices faster than real-time, particularly those with a very small amount of trainable data.
Launched in early 2020, 15.ai began as a proof of concept of the democratization of voice acting and dubbing using technology. Its gratis and non-commercial nature (with the only stipulation being that the project be properly credited when used), ease of use, no user account registration requirement, and substantial improvements to current text-to-speech implementations have been lauded by users; however, some critics and voice actors have questioned the legality and ethicality of leaving such technology publicly available and readily accessible.
Credited as the impetus behind the popularization of AI voice cloning (also known as audio deepfakes) in content creation and as the first publicly available AI vocal synthesis project to involve the use of existing popular fictional characters, 15.ai has had a significant impact on multiple Internet fandoms, most notably the My Little Pony: Friendship Is Magic, Team Fortress 2, and SpongeBob SquarePants fandoms. Furthermore, 15.ai has inspired the use of 4chan's Pony Preservation Project in other generative artificial intelligence projects.
Several commercial alternatives have spawned with the rising popularity of 15.ai, leading to cases of misattribution and theft. In January 2022, it was discovered that Voiceverse NFT, a company that voice actor Troy Baker announced his partnership with, had plagiarized 15.ai's work as part of their platform.
On September 8, 2022, 15.ai was temporarily taken down in preparation for an upcoming update, a year after its last stable release (v24.
Official source
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Related concepts (4)
Digital cloning
Digital cloning is an emerging technology, that involves deep-learning algorithms, which allows one to manipulate currently existing audio, photos, and videos that are hyper-realistic. One of the impacts of such technology is that hyper-realistic videos and photos makes it difficult for the human eye to distinguish what is real and what is fake. Furthermore, with various companies making such technologies available to the public, they can bring various benefits as well as potential legal and ethical concerns.
Audio deepfake
An audio deepfake (also known as voice cloning) is a type of artificial intelligence used to create convincing speech sentences that sound like specific people saying things they did not say. This technology was initially developed for various applications to improve human life. For example, it can be used to produce audiobooks, and also to help people who have lost their voices (due to throat disease or other medical problems) to get them back. Commercially, it has opened the door to several opportunities.
Deepfake
Deepfakes (portmanteau of "deep learning" and "fake") are synthetic media that have been digitally manipulated to replace one person's likeness convincingly with that of another. Deepfakes are the manipulation of facial appearance through deep generative methods. While the act of creating fake content is not new, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content that can more easily deceive.