scholarly journals Identification and Description of Outliers in the Densmore Collection of Native American Music

2019 ◽  
Vol 9 (3) ◽  
pp. 552
Author(s):  
Kerstin Neubarth ◽  
Darrell Conklin

This paper presents a method for outlier detection in structured music corpora. Given a music collection organised into groups of songs, the method discovers contrast patterns which are significantly infrequent in a group. Discovered patterns identify and describe outlier songs exhibiting unusual properties in the context of their group. Applied to the collection of Native American music collated by Frances Densmore (1867–1957) during fieldwork among several North American tribes, and employing Densmore’s music content descriptors, the proposed method successfully discovers a concise set of patterns and outliers, many of which correspond closely to observations about tribal repertoires and songs presented by Densmore.

1983 ◽  
Vol 15 ◽  
pp. 172
Author(s):  
J. Richard Haefer ◽  
Marcia Herndon

Author(s):  
Bruno Nettl ◽  
Victoria Lindsay Levine ◽  
Bryan Burton ◽  
Gertrude Prokosch Kurath

2020 ◽  
Vol 10 (6) ◽  
pp. 1991
Author(s):  
Kerstin Neubarth ◽  
Darrell Conklin

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.


1983 ◽  
Vol 27 (1) ◽  
pp. 71 ◽  
Author(s):  
James H. Howard

1983 ◽  
Vol 1 (2) ◽  
pp. 97
Author(s):  
Willard Rhodes ◽  
Marcia Herndon

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