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Challenging Beat Tracking: Tackling Polyrhythm, Polymetre, and Polytempo with Human-In-The-Loop Adaptation

AuthID
P-01A-6CJ

Author(s)

Pinto, AS

Bernardes, G

Davies, MEP

Editor(s)

Ystad,S;Martinet,RK;Kitahara,T;Hirata,K;Aramaki,M

Document Type

Proceedings Paper

Year published

2023

Published

in Music and Sound Generation in the AI Era - 16th International Symposium, CMMR 2023, Tokyo, Japan, November 13-17, 2023, Revised Selected Papers in Lecture Notes in Computer Science, ISSN: 16113349; 03029743

Volume: 15236, Pages: 461-479

Conference

16Th International Symposium on Computer Music Multidisciplinary Research, Cmmr 2023, Location: Tokyo

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Sources

Publication Identifiers

DOI: 10.1007/978-3-032-02042-0_35

Dblp: conf/cmmr/PintoBD23

Scopus: 2-s2.0-105020011783

Unpaywall: 10.1007/978-3-032-02042-0_35

Source Identifiers

ISSN: 16113349; 03029743

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Challenging Beat Tracking: Tackling Polyrhythm, Polymetre, and Polytempo with Human-In-The-Loop Adaptation

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Challenging Beat Tracking: Tackling Polyrhythm, Polymetre, and Polytempo with Human-In-The-Loop Adaptation

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