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

Zongyu Yin; Federico Reuben Paris; Susan Stepney; Tom Collins

doi:https://doi.org/10.1007/s42979-022-01220-y

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

Zongyu Yin, Federico Reuben Paris, Susan Stepney, Tom Collins

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	340
Number of pages	18
Journal	SN Computer Science
Volume	3
Issue number	5
Early online date	18 Jun 2022
DOIs	https://doi.org/10.1007/s42979-022-01220-y
Publication status	Published - Sep 2022

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https://doi.org/10.1007/s42979-022-01220-yLicence: CC BY

Yin2022_Article_MeasuringWhenAMusicGenerationA
© The Author(s) 2022
Final published version, 2.53 MBLicence: CC BY

Cite this

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

author = "Zongyu Yin and {Reuben Paris}, Federico and Susan Stepney and Tom Collins",

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AU - Collins, Tom

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