Since the machine generated music became more popular, our group plan to train a more effective m... more Since the machine generated music became more popular, our group plan to train a more effective model and get better music performance. We propose to use a model combination called C-RNN-GAN. This model is based on Generative Adversarial Network (GAN) model, with using convolutional Recurrent Neural Network (c-RNN) inside the GAN. This model is trained with classical and jazz MIDI dataset. The result will be demonstrated with generated music. Keywords—music generation, generative adversarial network, recurrent neural network
Since the machine generated music became more popular, our group plan to train a more effective m... more Since the machine generated music became more popular, our group plan to train a more effective model and get better music performance. We propose to use a model combination called C-RNN-GAN. This model is based on Generative Adversarial Network (GAN) model, with using convolutional Recurrent Neural Network (c-RNN) inside the GAN. This model is trained with classical and jazz MIDI dataset. The result will be demonstrated with generated music. Keywords—music generation, generative adversarial network, recurrent neural network
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Papers by Zihao Mo