1st international ACM workshop on music information retrieval with user-centered and multimodal strategies (MIRUM)

Liem, Cynthia C. S.; Mueller, Meinard; Tjoa, Steven K.; Tzanetakis, George

doi:10.1145/2072298.2072386

Cited by 1 publication

(1 citation statement)

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“…We see the reason for this unbalance in the smaller group size of sheet music consumers, which is much smaller. Liem et al discuss the issue of focusing on audio signal only and argue for multimodal and user‐centered analysis strategies to improve the accessibility of digital music data [LME∗11, MGD11]. Nevertheless, the increased use of digital symbolic music formats led to services such as OKTAV [OKT21] which provides sheet music recommendations based on symbolic features.…”

Section: Related Workmentioning

confidence: 99%

CorpusVis: Visual Analysis of Digital Sheet Music Collections

Miller

Julius

Keim

et al. 2022

Computer Graphics Forum

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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.

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Section: Related Workmentioning

confidence: 99%