A Tool for Generating Controllable Variations of Musical Themes Using Variational Autoencoders with Latent Space Regularisation

Berker Banar, Nick Bryan-Kinns, Simon Colton. A Tool for Generating Controllable Variations of Musical Themes Using Variational Autoencoders with Latent Space Regularisation. In Brian Williams 0001, Yiling Chen 0001, Jennifer Neville, editors, Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023. pages 16401-16403, AAAI Press, 2023. [doi]

@inproceedings{BanarBC23,
  title = {A Tool for Generating Controllable Variations of Musical Themes Using Variational Autoencoders with Latent Space Regularisation},
  author = {Berker Banar and Nick Bryan-Kinns and Simon Colton},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27059},
  researchr = {https://researchr.org/publication/BanarBC23},
  cites = {0},
  citedby = {0},
  pages = {16401-16403},
  booktitle = {Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023},
  editor = {Brian Williams 0001 and Yiling Chen 0001 and Jennifer Neville},
  publisher = {AAAI Press},
  isbn = {978-1-57735-880-0},
}