There are three basic music model constructing foundations:

1. Conditions or labels could be added so as to realize explicit control. And we could try to maximize the "mutual information" introduced by infoGAN to train our model.
2. In Deep Variational Model or Seq2seq models, the high-dimensional representation of music and the styles are decoupled, and the styles are replaced with other style representations so as to realize the music style tranfer.
3. It's actually a subset of intuition 2. However, it's widely used in timbre transfer models. As a result, it's separately introduced here. We could transfer our music to pics and use methods based on neural style transfer to realize the music style transfer.