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Article

Mining Characteristic Patterns for Comparative Music Corpus Analysis

1
Europa-Universität Flensburg, 24943 Flensburg, Germany
2
Department of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, 20018 San Sebastian, Spain
3
IKERBASQUE, Basque Foundation for Science, 48013 Bilbao, Spain
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(6), 1991; https://doi.org/10.3390/app10061991
Received: 30 January 2020 / Revised: 4 March 2020 / Accepted: 9 March 2020 / Published: 14 March 2020
(This article belongs to the Special Issue Sound and Music Computing -- Music and Interaction)
A core issue of computational pattern mining is the identification of interesting patterns. When mining music corpora organized into classes of songs, patterns may be of interest because they are characteristic, describing prevalent properties of classes, or because they are discriminant, capturing distinctive properties of classes. Existing work in computational music corpus analysis has focused on discovering discriminant patterns. This paper studies characteristic patterns, investigating the behavior of different pattern interestingness measures in balancing coverage and discriminability of classes in top k pattern mining and in individual top ranked patterns. Characteristic pattern mining is applied to the collection of Native American music by Frances Densmore, and the discovered patterns are shown to be supported by Densmore’s own analyses. View Full-Text
Keywords: pattern discovery; characteristic pattern; discriminant pattern; music corpus analysis; computational ethnomusicology; Native American music pattern discovery; characteristic pattern; discriminant pattern; music corpus analysis; computational ethnomusicology; Native American music
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MDPI and ACS Style

Neubarth, K.; Conklin, D. Mining Characteristic Patterns for Comparative Music Corpus Analysis. Appl. Sci. 2020, 10, 1991. https://doi.org/10.3390/app10061991

AMA Style

Neubarth K, Conklin D. Mining Characteristic Patterns for Comparative Music Corpus Analysis. Applied Sciences. 2020; 10(6):1991. https://doi.org/10.3390/app10061991

Chicago/Turabian Style

Neubarth, Kerstin; Conklin, Darrell. 2020. "Mining Characteristic Patterns for Comparative Music Corpus Analysis" Appl. Sci. 10, no. 6: 1991. https://doi.org/10.3390/app10061991

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