Pitch vs. Timbre

Author(s):  
Daniel Walden

Early comparative musicology habitually ignored, even extinguished, timbre in its single-minded focus on pitch. This chapter traces the broader social, cultural, and political consequences of this framework. It surveys how, at the turn of the twentieth century, John Comfort Fillmore and Benjamin Ives Gilman followed the lead of Alice Fletcher and Alexander Ellis in deploying a broad range of technologies—phonograph, Helmholtz resonator, keyboard, and musical notation—to develop frameworks for analyzing essential similarities and differences between Native American and Western musics. It argues that such scholarship, while ostensibly aimed at salvaging Native American music, also served American efforts to reform and silence indigenous voices. The postscript examines the resonances between their theories and modern frameworks of parametric analysis that construe pitch and timbre as autonomous, and proposes that there may be unrecognized perils in overly articulating the boundaries between pitch and timbre to focus analytical attention exclusively on the measurable quantities of musical sound.

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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