1 research outputs found
Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network
Research on automatic music generation has seen great progress due to the
development of deep neural networks. However, the generation of
multi-instrument music of arbitrary genres still remains a challenge. Existing
research either works on lead sheets or multi-track piano-rolls found in MIDIs,
but both musical notations have their limits. In this work, we propose a new
task called lead sheet arrangement to avoid such limits. A new recurrent
convolutional generative model for the task is proposed, along with three new
symbolic-domain harmonic features to facilitate learning from unpaired lead
sheets and MIDIs. Our model can generate lead sheets and their arrangements of
eight-bar long. Audio samples of the generated result can be found at
https://drive.google.com/open?id=1c0FfODTpudmLvuKBbc23VBCgQizY6-RkComment: 7 pages, 7 figures and 4 table