A Deep Learning Algorithm for the Development of Meaningful Learning in the Harmonization of a Musical Melody

Author:

Ventura Michele Della

Publisher

Springer Nature Switzerland

Reference25 articles.

1. Paiement, J.F., Eck, D., Bengio, S.: Probabilistic melodic harmonization. In Conference of the Canadian Society for Computational Studies of Intelligence, pp. 218–229 (2006)

2. Tsushima, H., Nakamura, E., Itoyama, K., Yoshii, K.: Function- and rhythm-aware melody harmonization based on tree-structured parsing and split-merge sampling of chord sequences. In: Proceedings of the International Society for Music Information Retrieval Conference (2017)

3. Ventura, M.D.: A self-adaptive learning music composition algorithm as virtual tutor. In: Maglogiannis, I., Iliadis, L., Macintyre, J., Cortez, P. (eds.) Artificial Intelligence Applications and Innovations. AIAI 2022. IFIP AICT, vol. 646, pp. 16–26. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-08333-4_2

4. Briot, J.P., Hadjeres, G., Pachet, F.D.: Deep learning techniques for music generation: a survey (2017). http://arxiv.org/abs/1709.01620

5. Lim, H., Rhyu, S., Lee, K.: Chord generation from symbolic melody using BLSTM networks. In: Proceedings of the ISMIR 2017 (2017)

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