20 citations · 22 across the 2 of their papers we have counts for
Showing cs.SDShow all
2 papers · 1 filter
cs.SD2020★ 20 cited
Learning Interpretable Representation for Controllable Polyphonic Music Generation
Ziyu Wang, Dingsu Wang, Yixiao Zhang +1
While deep generative models have become the leading methods for algorithmic composition, it remains a challenging problem to control the generation process because the latent vari…
cs.SD2019
Deep Music Analogy Via Latent Representation Disentanglement
Ruihan Yang, Dingsu Wang, Ziyu Wang +3
Analogy-making is a key method for computer algorithms to generate both natural and creative music pieces. In general, an analogy is made by partially transferring the music abstra…