This is amazing. I like very much that the approach is using symbolic music information instead of audio. It might help to better understand music some day (i.e. "really understand", not the helper projections the traditional music science works with). It's also interesting to notice the slight time jitter, likely due to the more discrete and limited "information density", or possibly round-off errors due to limited resolution of the weights. Maybe the paper answers it.