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We propose AccoMontage-3, a symbolic music automation system capable ofgenerating multi-track, full-band accompaniment based on the input of a leadmelody with chords (i.e., a lead sheet). The system contains three modularcomponents, each modelling a vital aspect of full-band composition. The firstcomponent is a piano arranger that generates piano accompaniment for the leadsheet by transferring texture styles to the chords using latent chord-texturedisentanglement and heuristic retrieval of texture donors. The second componentorchestrates the piano accompaniment score into full-band arrangement accordingto the orchestration style encoded by individual track functions. The thirdcomponent, which connects the previous two, is a prior model characterizing theglobal structure of orchestration style over the whole piece of music. From endto end, the system learns to generate full-band accompaniment in aself-supervised fashion, applying style transfer at two levels of polyphoniccomposition: texture and orchestration. Experiments show that our systemoutperforms the baselines significantly, and the modular design offerseffective controls in a musically meaningful way.

AccoMontage-3: Full-Band Accompaniment Arrangement via Sequential Style Transfer and Multi-Track Function Prior