• DOI:10.1109/ICMLA.2018.00114
Corpus ID: 51879433

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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