Reporting on work carried out in conjunction with Andrew Earis and Craig Sapp, this paper introduces recently developed approaches to the analysis of recorded music, illustrating them in terms of selected Chopin mazurkas. Topics covered include the stylistic characterisation and aesthetic values of Paderewski's playing of Op. 17 No. 4, contrasted with performances from the last quarter of the twentieth century, as well as relationships between different pianists' interpretations of Op. 68 No. 3. A possible performance genealogy of performances of the latter is proposed, in which recordings by Rubinstein and Cortot play a key role, while clustering based on Pearson correlation of tempo data yields relationships supported in one instance by documented teacher/pupil relationships. Representing the early outcomes of a more extended research project, these findings are encouraging in that it appears possible to draw meaningful conclusions from the consideration only of tempo data. The current phase of the project is also working with rhythmic and dynamic data, which should significantly enhance the potential for objective modelling of musically meaningful relationships.
Dynamic Data Routing Decisions for Compliant Data Handling in Service-and Cloud-Based Architectures: A Performance Analysis
