Marc Ostrow, a New York-based music copyright lawyer, told AFP AI-generated music is a "gray area."Ĭopyright can be asserted both by songwriters whose material is used, as well as the holders of the master recordings. In the case of "Heart on a Sleeve," Universal Music Group was quick to assert copyright claims and have the track pulled down from streaming services, but that hasn't stopped it popping back up on small accounts. "But what if they're long since passed away? Is it up to their estate?"ĪI is already proving a helter-skelter impact on the copyright world. "If they're getting paid for their vocal license, hey, everyone's happy," said Onotera. As the technology progresses, software that will easily allow people to transform their vocals into one of their favorite singers is likely not far away. Litigation ComingFor the music industry, the ramifications are enormous.
"There's really no expectation that it's going to replace the rich history of humans originating art and culture." "This is a great example of what AI does very well, which is anything that's resemblance: to train it on something existing," she told AFP.īut, she added, it flounders when it comes to new ideas. They need to "jump through hoops, read documentation, have the right computer, and then put it all together."Īhmed's company is one of several offering a platform that can make the technology more accessible to clients in the entertainment sector - and counts a recent Netflix documentary series "narrated" by late art icon Andy Warhol using its technology as an early success.įor Patricia Alessandrini, a composer and assistant professor at Stanford's Center for Computer Research in Music and Acoustics, the recent spate of AI tracks represent a coming-of-age for a technology that has been advancing exponentially - yet largely out of public view over the past decade. "I think we're still seeing a very small percentage of the population that can even access these tools," he said.
While the results can be astonishing, getting there isn't simple and requires skilled human operators combining new AI tools with extensive knowledge of traditional music processing software, Zohaib Ahmed, the CEO of Resemble AI, a Toronto-based voice cloning company, told AFP.
The creators would have probably then sung the parts themselves and then applied the cloned voice, in a manner similar to placing a filter on a photograph.
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