Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions

Understand

A great number of deep learning based models have been recently proposed for automatic music composition.

• Among these models, the Transformer stands out as a prominent approach for generating expressive classical piano performance with a coherent structure of up to one minute.
• The model is powerful in that it learns abstractions of data on its own, without much human-imposed domain knowledge or constraints.
• In contrast with this general approach, this paper shows that Transformers can do even better for music modeling, when we improve the way a musical score is converted into the data fed to a Transformer model.