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A computational approach to studying interdependence in string quartet performance

Title A computational approach to studying interdependence in string quartet performance
Publication Type PhD Thesis
Year of Publication 2016
University Univesitat Pompeu Fabra
Authors Papiotis, P.
Advisor Maestre, E. , & Serra X.
Abstract This dissertation proposes a computational data-driven methodology to measure music ensemble interdependence - the degree to which musicians interact and influence each other’s actions in order to achieve a shared goal - using a string quartet ensemble as a case study. Combining elements from multiple disciplines, this methodology involves the acquisition of multimodal performance data under experimental conditions, the extraction of numerical features that describe the performance in terms of distinct musical dimensions (intonation, dynamics, timbre, timing), the computational estimation of interdependence for each performance dimension individually, and the assessment of the capability of listeners to perceive interdependence. Our results show that it is possible to detect interdependence in string quartet performance in different performance dimensions, as well as to compare its relative amount across different recordings and relate the results to the underlying goal of the score. The experimental data have been published online as an open research dataset.
Final publication http://hdl.handle.net/10803/361107