A Survey of Music Generation in the Context of Interaction

arXiv:2402.15294v1 Announce Type: cross
Abstract: In recent years, machine learning, and in particular generative adversarial neural networks (GANs) and attention-based neural networks (transformers), have been successfully used to compose and generate music, both melodies and polyphonic pieces. Current research focuses foremost on style replication (eg. generating a Bach-style chorale) or style transfer (eg. classical to jazz) based on large amounts of recorded or transcribed music, which in turn also allows for fairly straight-forward "performance" evaluation. However, most of these models …

abstract adversarial arxiv attention context cs.ai cs.lg cs.sd current eess.as gans generate generative machine machine learning music music generation networks neural networks replication research style survey transformers type