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Variational Autoencoders(VAEs) have already achieved great results on imagegeneration and recently made promising progress on music generation. However,the generation process is still quite difficult to control in the sense thatthe learned latent representations lack meaningful music semantics. It would bemuch more useful if people can modify certain music features, such as rhythmand pitch contour, via latent representations to test different compositionideas. In this paper, we propose a new method to inspect the pitch and rhythminterpretations of the latent representations and we name it disentanglement byaugmentation. Based on the interpretable representations, an intuitivegraphical user interface is designed for users to better direct the musiccreation process by manipulating the pitch contours and rhythmic complexity.

Inspecting and Interacting with Meaningful Music Representations using VAE