An efficient method to build music generative model by controlling both general and local note characteristics
Author:
Funder
Viet Nam National University Ho Chi Minh City
Publisher
Elsevier BV
Subject
General Computer Science
Reference29 articles.
1. S-Type random k satisfiability logic in discrete hopfield neural network using probability distribution: performance optimization and analysis;Abdeen;Mathematics,2023
2. Generative adversarial networks: an overview;Creswell;IEEE Signal Process. Mag.,2018
3. Dong, H.W., et al., 2018. MuseGAN: multi-track sequential generative adversarial networks for symbolic music generation and accompaniment. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 32, no. 1. https://doi.org/10.1609/aaai.v32i1.11312.
4. Eck, D., Schmidhuber, J., 2002. Finding temporal structure in music: blues improvisation with LSTM recurrent networks. In: Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, pp. 747–756. https://doi.org/10.1109/NNSP.2002.1030094.
5. Fox, R., Crawford, R., 2016. A hybrid approach to automated music composition. In: Artificial Intelligence Perspectives in Intelligent Systems: Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016), vol. 1, Springer, pp. 213–223.
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