You can get midi recorded from human performances and then auto-quantize that to get the two data sets.Well if you want a Neural Net to "learn" how to do this you have to feed it a large enough sample set, now each sample set will need to be two performances - the first some MIDI locked-to-grid (like you might eventually input into it) and second some human performed version. Now rinse and repeat many many times until you have enough data sets to get a valid outcome.
The problem here then is getting these data sets is complex - you will need humans to play your score, and all of this takes time and effort - and what you end up with is probably not the mainstream product that will pay you back for all this effort.
Another option would be to extract midi from music for a large training set.
One complication is that different instruments and styles may tend towards different timing variations.
Statistics: Posted by Ou_Tis — Thu Feb 01, 2024 12:26 am