Deep learning for music generation: challenges and directions

Author:

Briot Jean-PierreORCID,Pachet François

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference42 articles.

1. Bretan M, Weinberg G, Heck L (2016) A unit selection methodology for music generation using deep neural networks. arXiv:1612.03789v1

2. Briot JP, Hadjeres G, Pachet F (2018) Deep learning techniques for music generation. Computational synthesis and creative systems, Springer, London

3. Cope D (2000) The algorithmic composer. A-R Editions

4. Cun YL, Bengio Y (1998) Convolutional networks for images, speech, and time-series. In: The handbook of brain theory and neural networks. MIT Press, Cambridge, pp 255–258

5. Dai S, Zhang Z, Xia GG (2018) Music style transfer issues: a position paper. arXiv:1803.06841v1

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