  We demonstrate a conditional autoregressive pipeline for efficient music
recomposition, based on methods presented in van den Oord et al.(2017).
Recomposition (Casal & Casey, 2010) focuses on reworking existing musical
pieces, adhering to structure at a high level while also re-imagining other
aspects of the work. This can involve reuse of pre-existing themes or parts of
the original piece, while also requiring the flexibility to generate new
content at different levels of granularity. Applying the aforementioned
modeling pipeline to recomposition, we show diverse and structured generation
conditioned on chord sequence annotations.
