MidiNet: A Convolutional Generative Adversarial Network for Symbolic-Domain Music Generation
@article{Yang2017MidiNetAC, title={MidiNet: A Convolutional Generative Adversarial Network for Symbolic-Domain Music Generation}, author={Li-Chia Yang and Szu-Yu Chou and Yi-Hsuan Yang}, journal={ArXiv}, year={2017}, volume={abs/1703.10847} }
Most existing neural network models for music generation use recurrent neural networks. [] Key Method In addition to the generator, we use a discriminator to learn the distributions of melodies, making it a generative adversarial network (GAN).
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