A Survey on Visualizations for Musical Data. (5th March 2020)

• Record Type: Journal Article
• Authors: Khulusi, R.; Kusnick, J.; Meinecke, C.; Gillmann, C.; Focht, J.; Jänicke, S.
• Is Part Of: Computer graphics forum. Volume 39:Number 6(2020)
• Page Start: 82
• Page End: 110
• Publication Date: 2020-03-05
• Subjects: information visualization -- visualization; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.13905
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: Digital methods are increasingly applied to store, structure and analyse vast amounts of musical data. In this context, visualization plays a crucial role, as it assists musicologists and non‐expert users in data analysis and in gaining new knowledge. This survey focuses on this unique link between musicology and visualization. We classify 129 related works according to the visualized data types, and we analyse which visualization techniques were applied for certain research inquiries and to fulfill specific tasks. Next to scientific references, we take commercial music software and public websites into account, that contribute novel concepts of visualizing musicological data. We encounter different aspects of uncertainty as major problems when dealing with musicological data and show how occurring inconsistencies are processed and visually communicated. Drawing from our overview in the field, we identify open challenges for research on the interface of musicology and visualization to be tackled in the future. Abstract : Digital methods are increasingly applied to store, structure and analyse vast amounts of musical data. In this context, visualization plays a crucial role, as it assists musicologists and non‐expert users in data analysis and in gaining new knowledge. This survey focuses on this unique link between musicology and visualization. We classify 129 related works according to the visualized data types, and we analyse which visualization techniques were applied for certain research inquiries and to fulfill specific tasks. Next to scientific references, we take commercial music software and public websites into account, that contribute novel concepts of visualizing musicological data. We encounter different aspects of uncertainty as major problems when dealing with musicological data and show how occurring inconsistencies are processed and visually communicated. Drawing from our overview in the field, we identify open challenges for research on the interface of musicology and visualization to be tackled in the future.