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Augmenting Sheet Music with Rhythmic Fingerprints

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FÜRST, Daniel, Matthias MILLER, Daniel A. KEIM, Alexandra BONNICI, Hanna SCHÄFER, Mennatallah EL-ASSADY, 2020. Augmenting Sheet Music with Rhythmic Fingerprints. 5th Workshop on Visualization for the Digital Humanities, VIS4DH, IEEE VIS 2020 (Virtual Conference). Salt Lake City, USA, Oct 25, 2020 - Oct 30, 2020. In: 5th Workshop on Visualization for the Digital Humanities

@inproceedings{Furst2020Augme-50863, title={Augmenting Sheet Music with Rhythmic Fingerprints}, year={2020}, booktitle={5th Workshop on Visualization for the Digital Humanities}, author={Fürst, Daniel and Miller, Matthias and Keim, Daniel A. and Bonnici, Alexandra and Schäfer, Hanna and El-Assady, Mennatallah} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dcterms:available rdf:datatype="">2020-09-17T07:05:31Z</dcterms:available> <dc:contributor>El-Assady, Mennatallah</dc:contributor> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:contributor>Miller, Matthias</dc:contributor> <dcterms:hasPart rdf:resource=""/> <bibo:uri rdf:resource=""/> <dc:contributor>Bonnici, Alexandra</dc:contributor> <dcterms:rights rdf:resource=""/> <dc:creator>Keim, Daniel A.</dc:creator> <dc:creator>Bonnici, Alexandra</dc:creator> <dc:creator>Miller, Matthias</dc:creator> <dc:creator>Schäfer, Hanna</dc:creator> <dcterms:issued>2020</dcterms:issued> <dc:contributor>Fürst, Daniel</dc:contributor> <dspace:hasBitstream rdf:resource=""/> <dc:language>eng</dc:language> <dcterms:isPartOf rdf:resource=""/> <dc:contributor>Schäfer, Hanna</dc:contributor> <dc:date rdf:datatype="">2020-09-17T07:05:31Z</dc:date> <dc:rights>terms-of-use</dc:rights> <dc:creator>El-Assady, Mennatallah</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:title>Augmenting Sheet Music with Rhythmic Fingerprints</dcterms:title> <dc:creator>Fürst, Daniel</dc:creator> <dc:contributor>Keim, Daniel A.</dc:contributor> <dspace:isPartOfCollection rdf:resource=""/> <dcterms:abstract xml:lang="eng">In this paper, we bridge the gap between visualization and musicology by focusing on rhythm analysis tasks, which are tedious due to the complex visual encoding of the well-established Common Music Notation (CMN). Instead of replacing the CMN, we augment sheet music with rhythmic fingerprints to mitigate the complexity originating from the simultaneous encoding of musical features. The proposed visual design exploits music theory concepts such as the rhythm tree to facilitate the understanding of rhythmic information. Juxtaposing sheet music and the rhythmic fingerprints maintains the connection to the familiar representation. To investigate the usefulness of the rhythmic fingerprint design for identifying and comparing rhythmic patterns, we conducted a controlled user study with four experts and four novices. The results show that the rhythmic fingerprints enable novice users to recognize rhythmic patterns that only experts can identify using non-augmented sheet music.</dcterms:abstract> </rdf:Description> </rdf:RDF>

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