The Visualization of Computer-Assisted Music Analysis Information in PWGL

Abstract We describe our recent developments in dealing with computer-assisted music analysis. Our focus is on a syntax that extends the pattern-matching part of our constraint-based system, called PWGLConstraints. This syntax is also the basis of our scripting language, which in turn is used to analyse scores. Our system allows reference to various high-level entities in a score, resulting in compact analysis rules that use only a minimal set of primitives. These rules can also be used to add information to the musical score when a visualization of the results is needed. Furthermore, the compiler can be extended to support new score-accessor keywords through the application of special compiler methods. Several examples are given to explain and demonstrate the syntax and visualization of the analysis data.

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