Musical Form Generation
Lilac Atassi
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.