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PopMNet is a melody structure-based model to generate structured pop music melodies. The melody structure is defined by pairwise relations, specifically, repetition and sequence, between all bars in a melody.

PopMNet consists of a Convolutional Neural Network (CNN)-based Structure Generation Net (SGN) and a Recurrent Neural Network (RNN)-based Melody Generation Net (MGN). The former generates melody structures and the latter generates melodies conditioned on the structures and chord progressions.