Polyphonic Music Generation with Sequence Generative Adversarial Networks

31 Oct 2017Sang-gil LeeUiwon HwangSeonwoo MinSungroh Yoon

We propose an application of sequence generative adversarial networks (SeqGAN), which are generative adversarial networks for discrete sequence generation, for creating polyphonic musical sequences. Instead of a monophonic melody generation suggested in the original work, we present an efficient representation of a polyphony MIDI file that simultaneously captures chords and melodies with dynamic timings... (read more)

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