Project Description

Compared to music that is rather a field with a quite long history, data analysis and visualization is a very young branch in Computer Science. In this project, we want to investigate, how musicology can profit from modern techniques. To provide useful visual analysis methods or tools for musical applications, an in-depth knowledge of music theory and its applications is required to develop appropriate techniques that support domain experts in their work. Providing a foundation that bridges both fields is targeted to create new approaches that lead to the generation of more deep knowledge. Integrating the user or domain expert holds the potential to maximize the knowledge output by combining the computing power of nowadays technology and human's intuition, understanding and background knowledge that can seldom completely covered by simply gathering data.

Publications

Analyzing Visual Mappings of Traditional and Alternative Music Notation


Abstract

In this paper, we postulate that combining the domains of information visualization and music studies paves the ground for a more structured analysis of the design space of music notation, enabling the creation of alternative music notations that are tailored to different users and their tasks. Hence, we discuss the instantiation of a design and visualization pipeline for music notation that follows a structured approach, based on the fundamental concepts of information and data visualization. This enables practitioners and researchers of digital humanities and information visualization, alike, to conceptualize, create, and analyze novel music notation methods. Based on the analysis of relevant stakeholders and their usage of music notation as a mean of communication, we identify a set of relevant features typically encoded in different annotations and encodings, as used by interpreters, performers, and readers of music. We analyze the visual mappings of musical dimensions for varying notation methods to highlight gaps and frequent usages of encodings, visual channels, and Gestalt laws. This detailed analysis leads us to the conclusion that such an under-researched area in information visualization holds the potential for fundamental research. This paper discusses possible research opportunities, open challenges, and arguments that can be pursued in the process of analyzing, improving, or rethinking existing music notation systems and techniques.

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Team