Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data

In a musical ensemble such as a string quartet, the musicians interact and influence each other's actions in several aspects of the performance simultaneously in order to achieve a common aesthetic goal. In this article, we present and evaluate a computational approach for measuring the deg...

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Detalles Bibliográficos
Autores: Papiotis, Panagiotis, 1985-, Marchini, Marco, 1984-, Pérez Carrillo, Alfonso Antonio, 1977-, Maestre Gómez, Esteban
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/37219
Acceso en línea:http://hdl.handle.net/10230/37219
http://dx.doi.org/10.3389/fpsyg.2014.00963
Access Level:acceso abierto
Palabra clave:Interdependence
String quartet
Ensemble performance
Signal processing
Motion capture
Mutual information
Nonlinear coupling
Granger causality
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spelling Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance dataPapiotis, Panagiotis, 1985-Marchini, Marco, 1984-Pérez Carrillo, Alfonso Antonio, 1977-Maestre Gómez, EstebanInterdependenceString quartetEnsemble performanceSignal processingMotion captureMutual informationNonlinear couplingGranger causalityIn a musical ensemble such as a string quartet, the musicians interact and influence each other's actions in several aspects of the performance simultaneously in order to achieve a common aesthetic goal. In this article, we present and evaluate a computational approach for measuring the degree to which these interactions exist in a given performance. We recorded a number of string quartet exercises under two experimental conditions (solo and ensemble), acquiring both audio and bowing motion data. Numerical features in the form of time series were extracted from the data as performance descriptors representative of four distinct dimensions of the performance: Intonation, Dynamics, Timbre, and Tempo. Four different interdependence estimation methods (two linear and two nonlinear) were applied to the extracted features in order to assess the overall level of interdependence between the four musicians. The obtained results suggest that it is possible to correctly discriminate between the two experimental conditions by quantifying interdependence between the musicians in each of the studied performance dimensions; the nonlinear methods appear to perform best for most of the numerical features tested. Moreover, by using the solo recordings as a reference to which the ensemble recordings are contrasted, it is feasible to compare the amount of interdependence that is established between the musicians in a given performance dimension across all exercises, and relate the results to the underlying goal of the exercise. We discuss our findings in the context of ensemble performance research, the current limitations of our approach, and the ways in which it can be expanded and consolidated.This work was partially supported by the EU FP7 FET-Open SIEMPRE Project no. FP7-ICT-2009-C-250026, the Catalan Research Funding Agency AGAUR, Beatriu de Pinos Grant 2010 BP-A 00209, and FP7 Marie Curie Grant no. PIOF-GA-2012-331270. We would like to thank Erika Donald and Marcelo Wanderley, as well as Carolina Brum Medeiros, Vincent Freour, and Marcello Giordano for the support in organizing the experiment, and the CIRMMT and BRAMS labs at Montreal, Quebec, Canada for hosting them. Finally, we would like to thank the reviewers for their thoughtful comments as well as for pointing out errors/omissions in the manuscript.Frontiers201920192014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/37219http://dx.doi.org/10.3389/fpsyg.2014.00963reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésFrontiers in psychology. 2014;5:963.info:eu-repo/grantAgreement/EC/FP7/250026info:eu-repo/grantAgreement/EC/FP7/331270© 2014 Papiotis, Marchini, Perez-Carrillo and Maestre. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/372192026-05-29T05:05:01Z
dc.title.none.fl_str_mv Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data
title Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data
spellingShingle Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data
Papiotis, Panagiotis, 1985-
Interdependence
String quartet
Ensemble performance
Signal processing
Motion capture
Mutual information
Nonlinear coupling
Granger causality
title_short Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data
title_full Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data
title_fullStr Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data
title_full_unstemmed Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data
title_sort Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data
dc.creator.none.fl_str_mv Papiotis, Panagiotis, 1985-
Marchini, Marco, 1984-
Pérez Carrillo, Alfonso Antonio, 1977-
Maestre Gómez, Esteban
author Papiotis, Panagiotis, 1985-
author_facet Papiotis, Panagiotis, 1985-
Marchini, Marco, 1984-
Pérez Carrillo, Alfonso Antonio, 1977-
Maestre Gómez, Esteban
author_role author
author2 Marchini, Marco, 1984-
Pérez Carrillo, Alfonso Antonio, 1977-
Maestre Gómez, Esteban
author2_role author
author
author
dc.subject.none.fl_str_mv Interdependence
String quartet
Ensemble performance
Signal processing
Motion capture
Mutual information
Nonlinear coupling
Granger causality
topic Interdependence
String quartet
Ensemble performance
Signal processing
Motion capture
Mutual information
Nonlinear coupling
Granger causality
description In a musical ensemble such as a string quartet, the musicians interact and influence each other's actions in several aspects of the performance simultaneously in order to achieve a common aesthetic goal. In this article, we present and evaluate a computational approach for measuring the degree to which these interactions exist in a given performance. We recorded a number of string quartet exercises under two experimental conditions (solo and ensemble), acquiring both audio and bowing motion data. Numerical features in the form of time series were extracted from the data as performance descriptors representative of four distinct dimensions of the performance: Intonation, Dynamics, Timbre, and Tempo. Four different interdependence estimation methods (two linear and two nonlinear) were applied to the extracted features in order to assess the overall level of interdependence between the four musicians. The obtained results suggest that it is possible to correctly discriminate between the two experimental conditions by quantifying interdependence between the musicians in each of the studied performance dimensions; the nonlinear methods appear to perform best for most of the numerical features tested. Moreover, by using the solo recordings as a reference to which the ensemble recordings are contrasted, it is feasible to compare the amount of interdependence that is established between the musicians in a given performance dimension across all exercises, and relate the results to the underlying goal of the exercise. We discuss our findings in the context of ensemble performance research, the current limitations of our approach, and the ways in which it can be expanded and consolidated.
publishDate 2014
dc.date.none.fl_str_mv 2014
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/37219
http://dx.doi.org/10.3389/fpsyg.2014.00963
url http://hdl.handle.net/10230/37219
http://dx.doi.org/10.3389/fpsyg.2014.00963
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Frontiers in psychology. 2014;5:963.
info:eu-repo/grantAgreement/EC/FP7/250026
info:eu-repo/grantAgreement/EC/FP7/331270
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Frontiers
publisher.none.fl_str_mv Frontiers
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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