Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network

@article{Liu2018LeadSG,
  title={Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network},
  author={Hao-Min Liu and Y. Yang},
  journal={2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)},
  year={2018},
  pages={722-727}
}
  • Hao-Min Liu, Y. Yang
  • Published 2018
  • Computer Science, Engineering
  • 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)
  • Research on automatic music generation has seen great progress due to the development of deep neural networks. However, the generation of multi-instrument music of arbitrary genres still remains a challenge. Existing research either works on lead sheets or multi-track piano-rolls found in MIDIs, but both musical notations have their limits. In this work, we propose a new task called lead sheet arrangement to avoid such limits. A new recurrent convolutional generative model for the task is… CONTINUE READING
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