Corpus ID: 220041617

Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation

@article{Liu2020IncorporatingMK,
  title={Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation},
  author={Alisa Liu and A. Fang and Gaetan Hadjeres and P. Seetharaman and B. Pardo},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.13331}
}

Alisa Liu, A. Fang, +2 authors B. Pardo

Published 2020

Computer Science, Engineering, Mathematics

ArXiv

Deep learning has rapidly become the state-of-the-art approach for music generation. However, training a deep model typically requires a large training set, which is often not available for specific musical styles. In this paper, we present augmentative generation (Aug-Gen), a method of dataset augmentation for any music generation system trained on a resource-constrained domain. The key intuition of this method is that the training data for a generative system can be augmented by examples the… CONTINUE READING

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