Measuring When a Music Generation Algorithm Copies Too Much: The Originality Report, Cardinality Score, and Symbolic Fingerprinting by Geometric Hashing

Yin, Zongyu, Reuben Paris, Federico orcid.org/0000-0003-1330-7346, Stepney, Susan orcid.org/0000-0003-3146-5401 et al. (1 more author) (2022) Measuring When a Music Generation Algorithm Copies Too Much: The Originality Report, Cardinality Score, and Symbolic Fingerprinting by Geometric Hashing. SN Computer Science. 340. ISSN: 2661-8907

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Item Type: Article
Authors/Creators:
Dates:
  • Accepted: 19 May 2022
  • Published (online): 18 June 2022
  • Published: September 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Arts and Humanities (York) > Music (York)
The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 15 Aug 2022 12:00
Last Modified: 17 Sep 2025 03:06
Published Version: https://doi.org/10.1007/s42979-022-01220-y
Status: Published
Refereed: Yes
Identification Number: 10.1007/s42979-022-01220-y
Open Archives Initiative ID (OAI ID):

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