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Moises makes Deezer’s Spleeter audio-separation tool user-friendly

Earlier in November, Deezer released an open-source project called Spleeter, which had been created by its research team. It’s a tool for ‘source separation’, using machine-learning technology to separate tracks into their composite stems (bass, drums, vocals etc).

It was interesting, but it wasn’t for beginners: you’d need to be a developer or music information retrieval (MIR) researcher to get it up and running. But the point was that developers could take Spleeter and make something more user-friendly, and now someone has done just that.

It’s called Moises, and is the work of developer Geraldo Ramos, in a weekend. “I had the idea of creating a simple service that removes all the friction and processes Deezer’s algorithm on remote servers that can scale according to the traffic,” he explained in a post on the Product Hunt website.