Musical Form Generation
This addresses the issue of incoherent or repetitive long-form music generation for musicians and AI applications, though it appears incremental as it builds on existing generative models.
The paper tackles the problem of generating structured, arbitrarily long musical pieces by introducing an approach that uses a conditional generative model for segments and a large language model to suggest musical form, resulting in compositions that maintain coherence beyond a minute.
While recent generative models can produce engaging music, their utility is limited. The variation in the music is often left to chance, resulting in compositions that lack structure. Pieces extending beyond a minute can become incoherent or repetitive. This paper introduces an approach for generating structured, arbitrarily long musical pieces. Central to this approach is the creation of musical segments using a conditional generative model, with transitions between these segments. The generation of prompts that determine the high-level composition is distinct from the creation of finer, lower-level details. A large language model is then used to suggest the musical form.