CorpusVis: Visual Analysis of Digital Sheet Music Collections
CorpusVis: Visual Analysis of Digital Sheet Music Collections
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DOI：
10.1111/cgf.14540
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发表时间：
2022
影响因子：
2.5
通讯作者：
Matthias Miller;Julius Rauscher;D. Keim;Mennatallah El-Assady
中科院分区：
文献类型：
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作者：
Matthias Miller;Julius Rauscher;D. Keim;Mennatallah El-Assady
由于底层特征、结构和上下文信息的数量和复杂性，手动调查乐谱集合对于音乐分析师来说是具有挑战性的。然而，应用复杂的算法方法将需要分析师不一定拥有的先进技术专长。为了弥合这一差距，我们贡献了CorpusVis，一个交互式的可视化工作空间，可以进行可扩展和多方面的分析。我们提出的可视化分析仪表板提供了对计算方法的访问，对相同的数据生成不同的视角。所提出的应用程序使用元数据，包括作曲家，类型，时代和低级别的功能，如音高，旋律和节奏。为了评估我们的方法，我们对9名参与者进行了配对分析研究。定性结果表明，语料库支持用户进行探索性和验证性分析，使他们的新见解和发现。此外，基于三个示例性工作流程，我们演示了如何将我们的方法应用于不同的任务，例如探索音乐特征或比较作曲家。
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.