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Computational analysis of solo versus ensemble performance in string quartets: intonation and dynamics

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dc.contributor.author Papiotis, Panagiotis, 1985-
dc.contributor.author Marchini, Marco, 1984-
dc.contributor.author Maestre Gómez, Esteban
dc.date.accessioned 2017-05-16T08:34:44Z
dc.date.available 2017-05-16T08:34:44Z
dc.date.issued 2012
dc.identifier.citation Papiotis P, Marchini M, Maestre E. Computational analysis of solo versus ensemble performance in string quartets: intonation and dynamics. In: Proceedings of the 12th International Conference on Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music; 2012 July 23-28; Thessaloniki, Greece. [place unknown]: ICMPC – ESCOM 2012; 2012. [7 p.].
dc.identifier.uri http://hdl.handle.net/10230/32130
dc.description Comunicació presentada a la conferència conjunta que inclou la 12th International Conference on Music Perception and Cognition (ICMPC) i la 8th Triennial Conference of the European Society, celebrada a Tessalònica (Grècia) els dies 23 a 28 de juliol de 2012.
dc.description.abstract Musical ensembles, such as a string quartet, are a clear case of music performance where a joint interpretation of the score as well as joint action during the performance is required by the musicians. Of the several explicit and implicit ways through which the musicians cooperate, we focus on the acoustic result of the performance – in this case in terms of dynamics and intonation - and attempt to detect evidence of interdependence among the musicians by performing a computational analysis. We have recorded a set of string quartet exercises whose challenge lies in achieving ensemble cohesion rather than correctly performing one’s individual task successfully, which serve as a ‘ground truth’ dataset; these exercises were recorded by a professional string quartet in two experimental conditions: solo, where each musician performs their part alone without having access to the full quartet score, and ensemble, where the musicians perform the exercise together following a short rehearsal period. Through an automatic analysis and post-processing of audio and motion capture data, we extract a set of low-level features, on which we apply several numerical methods of interdependence (such as Pearson correlation, Mutual Information, Granger causality, and Nonlinear coupling) in order to measure the interdependence -or lack thereofamong the musicians during the performance. Results show that, although dependent on the underlying musical score, this methodology can be used in order to automatically analyze the performance of a musical ensemble.
dc.description.sponsorship The work presented on this document has been partially supported by the EU-FP7 FET SIEMPRE project and an AGAUR research grant from Generalitat de Catalunya.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher 12th International Conference on Music Perception and Cognition (ICMPC) - 8th Triennial Conference of the European Society
dc.relation.ispartof Proceedings of the 12th International Conference on Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music; 2012 July 23-28; Thessaloniki, Greece. [place unknown]: ICMPC – ESCOM 2012; 2012. [7 p.].
dc.rights © 12th International Conference on Music Perception and Cognition (ICMPC)- 8th Triennial Conference of the European Society
dc.subject.other Enginyeria acústica
dc.subject.other So -- Enregistrament i reproducció
dc.title Computational analysis of solo versus ensemble performance in string quartets: intonation and dynamics
dc.type info:eu-repo/semantics/conferenceObject
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/250026
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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