A group of AI researchers at Meta’s Basic AI Analysis group are making 4 new AI fashions publicly accessible to researchers and builders creating new purposes. The group has posted a paper on the arXiv preprint server outlining one of many new fashions, JASCO, and the way it could be used.
As curiosity in AI purposes grows, main gamers within the subject are creating AI fashions that can be utilized by different entities so as to add AI capabilities to their very own purposes. On this new effort, the group at Meta has made accessible 4 new fashions: JASCO, AudioSeal and two variations of Chameleon.
JASCO has been designed to just accept various kinds of audio enter and create an improved sound. The mannequin, the group says, permits customers to regulate traits such because the sound of drums, guitar chords and even melodies to craft a tune. The mannequin can even settle for textual content enter and can use it to taste a tune.
An instance could be to ask the mannequin to generate a bluesy tune with quite a lot of bass and drums. That might then be adopted by comparable descriptions concerning different devices. The group at Meta additionally in contrast JASCO with different programs designed to do a lot the identical factor and located that JASCO outperformed them throughout three main metrics.
AudioSeal can be utilized so as to add watermarks to speech generated by an AI app, permitting the outcomes to be simply recognized as artificially generated. They word it may also be used to watermark segments of AI speech which have been added to actual speech and that it’s going to include a industrial license.
The 2 Chameleon fashions each convert textual content to visible depictions and are being launched with restricted capabilities. The variations, 7B and 34B, the group notes, each require the fashions to realize a way of understanding of each textual content and pictures. Due to that, they’ll do reverse processing, akin to producing captions of images.
Extra info:
Or Tal et al, Joint Audio and Symbolic Conditioning for Temporally Managed Textual content-to-Music Era, arXiv (2024). DOI: 10.48550/arxiv.2406.10970
Demo web page: pages.cs.huji.ac.il/adiyoss-lab/JASCO/
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