Application of Deep Neural Networks to Music Composition Based on MIDI Datasets and Graphical Representation

Author:

Modrzejewski Mateusz,Dorobek Mateusz,Rokita Przemysław

Publisher

Springer International Publishing

Reference13 articles.

1. Choi, K., Fazekas, G., Sandler, M., Cho, K.: Convolutional recurrent neural networks for music classification. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2392–2396. IEEE (2017)

2. McKenzie, D.: MIDI Collection. https://bushgrafts.com/midi/ . Accessed 16 Jan 2019

3. Engel, J., et al.: Neural audio synthesis of musical notes with wavenet autoencoders. In: ICML (2017)

4. Goodfellow, I., et al.: Generative adversarial nets. In: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N.D., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, vol. 27, pp. 2672–2680. Curran Associates Inc (2014)

5. Hawthorne, C., et al.: Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset (2018)

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