"A Good Algorithm Does Not Steal - It Imitates": The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much

Zongyu Yin, Federico Reuben, Susan Stepney, Tom Collins. "A Good Algorithm Does Not Steal - It Imitates": The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much. In Juan Romero, Tiago Martins, Nereida Rodríguez-Fernández, editors, Artificial Intelligence in Music, Sound, Art and Design - 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings. Volume 12693 of Lecture Notes in Computer Science, pages 360-375, Springer, 2021. [doi]

@inproceedings{YinRSC21,
  title = {"A Good Algorithm Does Not Steal - It Imitates": The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much},
  author = {Zongyu Yin and Federico Reuben and Susan Stepney and Tom Collins},
  year = {2021},
  doi = {10.1007/978-3-030-72914-1_24},
  url = {https://doi.org/10.1007/978-3-030-72914-1_24},
  researchr = {https://researchr.org/publication/YinRSC21},
  cites = {0},
  citedby = {0},
  pages = {360-375},
  booktitle = {Artificial Intelligence in Music, Sound, Art and Design - 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings},
  editor = {Juan Romero and Tiago Martins and Nereida Rodríguez-Fernández},
  volume = {12693},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-72914-1},
}