The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device.
The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
You have trained a model, presumably on other people's work, to improvise on an initial kernel of musical material. In doing so you:
1) remove the opportunity for one to develop their own skills in extending musical ideas 2) rip off other people's work wholesale 3) remove what is the most rewarding part of music (creating and shaping it through refinement and technique).
Yes, I think I’ve gotten it to roughly a GPT-2 level: good enough to share, but with a lot of room left to improve. I think adding some kind of bar/measure token might help with rhythm, and perhaps some form of longer-term planning for the overall composition.
yoouareperfect•13m ago