2022
DOI: 10.1111/cgf.14540
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CorpusVis: Visual Analysis of Digital Sheet Music Collections

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 meth… Show more

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Cited by 5 publications
(4 citation statements)
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References 39 publications
(44 reference statements)
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“…Different from other visual representations of musical data [KKM*20], the alignment of choreographic formations with the musical part in our approach takes place on an abstract level. The realization of this sequential aspect and the alignment of the choreography to it is therefore realized in a more abstract way than usual when supporting the analysis of sheet music [MRKEA22], composing music [RHWS22], music recommendation [SI11], or practicing musical performances [HS22]. Our approach uses discrete modeling [AMST11] of music (play time) in a linear timeline representation.…”
Section: Background and Related Workmentioning
confidence: 99%
“…Different from other visual representations of musical data [KKM*20], the alignment of choreographic formations with the musical part in our approach takes place on an abstract level. The realization of this sequential aspect and the alignment of the choreography to it is therefore realized in a more abstract way than usual when supporting the analysis of sheet music [MRKEA22], composing music [RHWS22], music recommendation [SI11], or practicing musical performances [HS22]. Our approach uses discrete modeling [AMST11] of music (play time) in a linear timeline representation.…”
Section: Background and Related Workmentioning
confidence: 99%
“…The notational complexity of the musical dimensions [MHK*18] requires reading proficiency to understand the underlying musical concepts. Below, we introduce the musical features from the smallest unit to compound concepts including harmony , rhythm and melody .…”
Section: Problem and Data Characteristicsmentioning
confidence: 99%
“…Such manual analysis tasks are segmentation, structure analysis [LJ83b], annotation and comparison of sheet music. Without the help of additional tools, these tasks are time‐consuming and tedious due to the visual complexity of CMN [MHK*18]. Close reading is restricted to CMN, which does not readily convey an overview of larger sections.…”
Section: Introductionmentioning
confidence: 99%
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