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Expressivity as Time-Dependent Movement for Music Performance: A Statistical Exploration

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author

John Sullivan

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Authors:

Ioana Dalca, Bradley W. Vines, Marcus T. Pearce, Marcelo M. Wanderley

Publication or Conference Title:

Proceedings of the 10th International Symposium on Computer Music Multidisciplinary Research (CMMR2013)

Abstract:

In performance art, expressivity is a quintessential element in modeling the cognitive and affective interaction between artists and audiences. The expressive body movements of music performers are particularly revealing, due to their continuous, inherent synchrony with the development of the artistic object: the music. We combined functional data analysis of variance and principal component analysis to examine intra-individual consistencies in time and expressive intentions. The bell tip of a clarinet was vertically tracked across 1442 time-points, throughout 13 performances of Stravinsky’s Second Piece for Solo Clarinet. The clarinetist played the segment in three different performance manners: immobile, standard, and exaggerated. The series of performances was repeated after six months. The statistical exploration revealed performance- gestural consistencies across the half-year interval and comprehensive movement strategies that distinguished expressive intentions. Our method is an important step towards understanding the role of expressive gestures in a multimodal musical framework.


Publication Details:

Type:
Conference Paper
Date:
06/01/2013
Pages:
845-854
Location:
Marseille, France