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Authors
Yin, Zongyu http://orcid.org/0000-0001-8709-8829
Reuben, Federico http://orcid.org/0000-0003-1330-7346
Stepney, Susan http://orcid.org/0000-0003-3146-5401
Collins, Tom http://orcid.org/0000-0001-7880-5093
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Article History
Received: 25 June 2021
Revised: 20 October 2022
Accepted: 27 January 2023
First Online: 21 March 2023
Declarations
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: The last author is a co-founder of the music collective Music Artificial Intelligence Algorithms, Inc. As such, he has an interest in the strong performance of the MAIA Markov algorithm. To avoid this bias affecting the outcome of the study, we ran the listening study blind and did everything one could reasonably expect to maximise the performance of outputs from other algorithms. Apart from this, the authors have no relevant financial or non-financial interests to disclose.
: The listening study has been approved by the Physical Sciences Ethics Committee of the University of York.
: Participants involved in the listening study are informed their provided data will be used anonymously for this work.
: All authors consent to the publication of this work.
