In recent decades, the application of computers has transformed data processing across scientific disciplines, including musicology and music theory. This evolution has led to the development of computer-aided musical analysis tools, which have revolutionized music research by enabling rapid and precise analysis of extensive musical datasets. However, a significant hurdle remains: the need for technical expertise and programming skills, potentially creating a divide between musicologists proficient in technical aspects and those that are not.
This thesis explores the usage of node graphs and visual programming to bridge this gap and introduces a solution we call ’vimu’. vimu offers a graphical user interface (GUI) that provides a visual editing experience, simplifying the utilization of computational functions without requiring computer science or programming knowledge. Unlike some previous GUIs for music analysis, vimu is designed for user-friendliness, avoiding complex installations and ensuring ongoing support. vimu is fully available online and can be accessed via https://vimu.app.
approved