![]() “I think often musicians underestimate how much the way we play is based on our physical experiences and habits,” Evans says. The result was a jumpy and meandering interpretation of dance pop that was strange to listen to and even stranger to play. After the machine spit out hours of melodies and lyrics based on what it had learned, the band culled through its output and spliced together the most intriguing bits into coherent songs. It’s the job of forward-thinking musicians, then, to wield the technology for the exact opposite purpose: to push against standardization and explore uncharted territory they could not have conjured on their own.įor their most recent album Chain Tripping, YACHT trained a machine learning system on their entire catalog of music. Luke,” she says, referring to the once omnipresent producer who creates pop hits through specific formulas. What if major labels use AI and algorithms to cram simplistic earworms down our aural cavities from now until the end of time?īut musician Claire Evans of the Los Angeles-based electropop band YACHT says that sort of craven optimization already sits at the heart of the music industry: “That algorithm exists and it’s called Dr. This is one of the main concerns that many have about AI in music: that it could flatten music into functional and generic sounds until every song sounds more or less the same. Of course, creating simple ditties or glorified white noise is far different from creating great music. “Billions of billions of individuals who might not have been part of the creative class now can be,” he says. This year, Silverstein says, Amper will launch a consumer-friendly interface so that anyone, not just companies, can use it to create songs. Stavitsky says users have successfully used Endel to combat ADHD, insomnia and tinnitus a company representative said the app reached one million downloads at the end of January.īoth Amper and Endel turn non-musicians into sonic curators, allowing them to become involved in a process they might have been shut out of due to lack of training or background. ![]() His app takes several real-time factors into account - including the weather, the listener’s heart rate, physical activity rate, and circadian rhythms - in generating gentle music that’s designed to help people sleep, study or relax. Stavitsky realized that while people are increasingly plugging into headphones to get them through the day, “there’s no playlist or song that can adapt to the context of whatever’s happening around you,” he says. “Now, with Amper, they can say, ‘I know what I want, and in a matter of minutes, I can make it.'” And when the company ran a recent Turing-like test, they found that, just like with the AI-generated Bach composition, consumers couldn’t tell the difference between music composed by humans and that composed by Amper’s AI.Įndel was likewise created to fill a modern need: personalized soundscapes. “Previously, a video editor would search stock music and settle for something sufficient,” Silverstein says. Amper’s music is now used in podcasts, commercials, and videos for companies like Reuters. So the trio created Amper, which allows non-musicians to create music by indicating parameters like genre, mood and tempo. “There would be so many of our colleagues who wanted music that they couldn’t afford or didn’t have time for - and they didn’t want to use stock music,” says Silverstein. In the early 2010s, the composers Drew Silverstein, Sam Estes, and Michael Hobe were working on music for Hollywood films like The Dark Knight when they found themselves deluged with requests for simple background music for film, TV or video games. On one side of the spectrum, AI music has become an answer to a simple demand: more music is needed than ever, thanks to a ballooning number of content creators on streaming and social media platforms.
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