[ooobo]

Gave this a go, it's an easy install with pip, and results are pretty quick even on an old macbook. Splits into 2stems (vocals/accompaniment) on some random songs I chose actually quite good using the pretrained models provided. Of course, ripping the vocals out of the accompaniment takes out a good chunk of the middle frequencies so some songs sound a bit wonky. Worth a play if you are interested.

[tomrod]

Same thoughts here. I ran Thriller, Alligator by Of Monsters and Men, and In Hell I'll be in Good Company by The Dead South on the 2 / 5 / 4 stems, respectively. Impressive results. Definitely agree that some of the middle frequencies show some error.

It would be really cool to create "music mappers"/life sounds tracks like what you can do with pictures & art styles (e.g. https://medium.com/tensorflow/neural-style-transfer-creating...)

[colorincorrect]

known nothing about the results, i suspect that mid-ranges are poorer mainly because human frequency response is most sensitive towards mid-range aka vocal-pitch frequency

[sehugg]

It's really good on the 2-stem stuff. On the 4-stem model, it's a bit shy about the bass part, and parts drift in and out. I'd like to try it on a FLAC.

[lrobinovitch]

Same, Rage Against The Machine - Killing In the Name came out sounding great. Very cool.