Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generation

arXiv:2403.07995v1 Announce Type: cross
Abstract: Modelling musical structure is vital yet challenging for artificial intelligence systems that generate symbolic music compositions. This literature review dissects the evolution of techniques for incorporating coherent structure, from symbolic approaches to foundational and transformative deep learning methods that harness the power of computation and data across a wide variety of training paradigms. In the later stages, we review an emerging technique which we refer to as "sub-task decomposition" that involves decomposing music generation into …

abstract artificial artificial intelligence arxiv beyond cs.lg cs.sc cs.sd deep learning eess.as evolution generate harness intelligence literature modelling music music generation power review systems type vital