Convolutional Generative Adversarial Network, via Transfer Learning, for Traditional Scottish Music Generation
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-030-72914-1_13
Reference25 articles.
1. Arutyunov, V., Averkin, A.: Genetic algorithms for music variation on genom platform. Procedia Comput. Sci. 120, 317–324 (2017). https://doi.org/10.1016/j.procs.2017.11.245
2. Avdeeff, M.: Artificial intelligence & popular music: SKYGGE, flow machines, and the audio uncanny valley. Arts 8(4), 130 (2019). https://doi.org/10.3390/arts8040130
3. Barry, T.: Traditional Scottish Tunes in Midi Format. http://www.whitestick.co.uk/midi.html
4. Brunner, G., Wang, Y., Wattenhofer, R., Zhao, S.: Symbolic music genre transfer with CycleGAN. In: Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, November 2018, pp. 786–793 (2018). https://doi.org/10.1109/ICTAI.2018.00123
5. Chen, Z., Wu, C.W., Lu, Y.C., Lerch, A., Lu, C.T.: Learning to fuse music genres with generative adversarial dual learning. In: Proceedings - IEEE International Conference on Data Mining, ICDM, November 2017, pp. 817–822 (2017). https://doi.org/10.1109/ICDM.2017.98
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