CorpusVis: Visual Analysis of Digital Sheet Music Collections. (June 2022)

• Record Type: Journal Article
• Authors: Miller, Matthias; Rauscher, Julius; Keim, Daniel A.; El‐Assady, Mennatallah
• Is Part Of: Computer graphics forum. Volume 41:Number 3(2022)
• Page Start: 283
• Page End: 294
• Publication Date: 2022-06
• Subjects: CCS Concepts -- Human‐centered computing → Visualization techniques -- Visual analytics -- Visualization systems and tools -- Information systems → Content analysis and feature selection -- Document structure; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.14540
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: Manually investigating sheet music collections is challenging for music analysts due to the magnitude and complexity of underlying features, structures, and contextual information. However, applying sophisticated algorithmic methods would require advanced technical expertise that analysts do not necessarily have. Bridging this gap, we contribute CorpusVis, an interactive visual workspace, enabling scalable and multi‐faceted analysis. Our proposed visual analytics dashboard provides access to computational methods, generating varying perspectives on the same data. The proposed application uses metadata including composers, type, epoch, and low‐level features, such as pitch, melody, and rhythm. To evaluate our approach, we conducted a pair‐analytics study with nine participants. The qualitative results show that CorpusVis supports users in performing exploratory and confirmatory analysis, leading them to new insights and findings. In addition, based on three exemplary workflows, we demonstrate how to apply our approach to different tasks, such as exploring musical features or comparing composers.