2012
DOI: 10.1007/978-3-642-30214-5_36
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Measuring Ensemble Synchrony through Violin Performance Parameters: A Preliminary Progress Report

Abstract: Abstract. In this article we present our ongoing work on expressive performance analysis for violin and string ensembles, in terms of synchronization in intonation, timing, dynamics and articulation. Our current research objectives are outlined, along with an overview for the methods used to achieve them; finally, focusing on the case of intonation synchronization in violin duets, some preliminary results and conclusions based on experimental recordings are discussed.

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Cited by 4 publications
(3 citation statements)
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“…Mutual information is never negative, and only equal to zero if the two random variables are completely independent. It has recently been applied to quantify interdependencies, or coupling, between body movements (Schroeder et al, in preparation) and sounds (Papiotis et al, 2012, 2011) produced by interacting musicians. In the current study, the mutual information between corresponding markers on paired pianists was calculated to quantify body movement coordination for each take in the familiar and unfamiliar conditions.…”
Section: Methodsmentioning
confidence: 99%
“…Mutual information is never negative, and only equal to zero if the two random variables are completely independent. It has recently been applied to quantify interdependencies, or coupling, between body movements (Schroeder et al, in preparation) and sounds (Papiotis et al, 2012, 2011) produced by interacting musicians. In the current study, the mutual information between corresponding markers on paired pianists was calculated to quantify body movement coordination for each take in the familiar and unfamiliar conditions.…”
Section: Methodsmentioning
confidence: 99%
“…Research with single individuals is well established, and there is an increasing body of work on duets. Quartets have been studied impressionistically (e.g., Davidson and Good, 2002 ; Goodman, 2002 ; King, 2004 ; Seddon and Biasutti, 2009 ), but work with signal capture remains limited (e.g., Glowinski et al, 2010 ; Keller and Appel, 2010 ; Moore and Chen, 2010 ; Papiotis et al, 2012 ). Orchestras, with larger numbers but a simpler communication structure, present a similar picture (see, Luck and Toiviainen, 2006 ; D'Ausilio et al, 2012 ).…”
Section: Introductionmentioning
confidence: 99%
“…It can quantify the amount of uncertainty about a random variable (X) reduced by the observation of another variable (Y) (Kostrubiec, Dumas, Zanone, & Kelso, 2015). Previous studies have applied mutual information to quantify the degree of synchrony, coordination, or coupling between the body movements or sounds of participants (Papiotis, Marchini, Maestre, & Perez, 2012;Ragert et al, 2013). In this study, the mutual information between the body movements of the participants was calculated to quantify interpersonal bodily coordination.…”
Section: Procedure: Data Collection and Analysesmentioning
confidence: 99%