skip to main content
10.1145/3625135.3625148acmotherconferencesArticle/Chapter ViewAbstractPublication PagesdlfmConference Proceedingsconference-collections
short-paper

Visual presentation and exploration of musical corpora: Case Study: Oskar Kolberg's Opera Omnia

Published: 10 November 2023 Publication History

Abstract

Extensive musical collections are growing with increasing momentum, and there are progressively more digital tools for analysing musical corpora. These tools visualize statistical information in diagrams, simplifying the analysis. This kind of data presentation is effective both for analysing single pieces of music and looking for trends for an entire collection. Increasingly, authors of digital collections, are also developing interfaces that allow viewing individual works in user-friendly analytical interfaces. However, interfaces that allow intuitive browsing of musical collections and comparison of its subsets are still rare. Accordingly, this paper proposes a methodology for working with musical data that is inspired by diagrammatic reasoning elaborated by Charles Sanders Peirce. The goal of the project is to develop a method that would enable researchers, especially those not associated with the creation of the selected corpus, to explore its characteristics quickly and without requiring theoretical preparation, classify its subsets, and detail the characteristics of individual compositions. The proposed interactive diagrammatic method for viewing and analysing musical data has been implemented on analytical dashboards in Tableau Public. Each dashboard contains a collection of diagrams presenting the results of computer-based music analysis of rhythm or melody of tunes from different perspectives.

References

[1]
Jesse Rodin and Craig Sapp. The Josquin Research Project. Stanford University. Retrieved September 28, 2023 from https://josquin.stanford.edu/.
[2]
Anna M. Matuszewska. 2023. Tableau Public: Oskar Kolberg's Opera Omnia (DWOK). Retrieved from https://public.tableau.com/app/profile/ anna.m8322/viz/KOLBERG-2023/D1_Comparison
[3]
Stefan Jänicke, Greta Franzini, Muhammad Faisal Cheema, and Gerik Scheuermann. 2015. On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges. A State-of-the-Art (STAR) Report.
[4]
Valeria Giardino. 2016. 3. Behind the Diagrams: Cognitive Issues and Open Problems. In Thinking with Diagrams. The Semiotic Basis of Human Cognition, Sybille Krämer and Christina Ljungberg (Ed.). De Gruyter Mouton, Berlin, Boston. 77–102. https://doi.org/10.1515/9781501503757-004
[5]
Frederik Stjernfelt and Svend Østergaard. 2016. Diagrammatic problem solving. In Thinking with Diagrams. The Semiotic Basis of Human Cognition. Sybille Krämer, and Christine Ljungberg (Ed.). De Gruyter Mouton, Berlin, Boston. 110-111. https://doi.org/10.1515/ 9781501503757-005
[6]
Sybille Krämer, and Christine Ljungberg. 2016. Thinking and diagrams – An introduction. In Thinking with Diagrams. The Semiotic Basis of Human Cognition. Sybille Krämer, and Christine Ljungberg (Ed.). De Gruyter Mouton, Berlin, Boston. 15. https://doi.org/10.1515/ 9781501503757-001
[7]
Ewa Dahlig-Turek. Editing music records from Oskar Kolberg's Complete Works in the Music Information Retrieval mode and making them accessible to research. Retrieved September 28, 2023 from https:// kolberg.ispan.pl
[8]
Nathaniel Condit-Schultz and Claire Arthur. 2019. humdrumR: a New Take on an Old Approach to Computational Musicology. In Proceedings of the 20th International Society for Music Information Retrieval (ISMIR 2019), November 4-8, 2019, Delft, The Netherlands. ISMIR, Delft, The Netherlands, 715–722. https://doi.org/10.5281/zenodo.3527910
[9]
David Huron, Craig Stuart Sapp and Daniel Shanahan. 2022. The Humdrum Toolkit for Computational Music Analysis | Humdrum. Retrieved September 28, 2023 from https://www.humdrum.org/.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
DLfM '23: Proceedings of the 10th International Conference on Digital Libraries for Musicology
November 2023
139 pages
ISBN:9798400708336
DOI:10.1145/3625135
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 November 2023

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. diagrammatic
  2. interface for corpus exploration
  3. visual music analysis

Qualifiers

  • Short-paper
  • Research
  • Refereed limited

Conference

DLfM 2023

Acceptance Rates

Overall Acceptance Rate 27 of 48 submissions, 56%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 29
    Total Downloads
  • Downloads (Last 12 months)22
  • Downloads (Last 6 weeks)8
Reflects downloads up to 13 Jan 2025

Other Metrics

Citations

Cited By

View all

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media