The service is using the code from Spleeter, an audio separation tool developed and released by Deezer in 2019, to do its work.
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.
Stems the breaks: Deezer creates stem-isolating tool Spleeter
Artists have been making ‘stems’ from their tracks available since the early 2000s for fans to remix, often as part of contests. The recent deal between Tracklib and the estate of […]