URN to cite this document: urn:nbn:de:bvb:703-epub-7583-4
Title data
Rambold, Gerhard ; Neubacher, Dieter ; Schießl, Siegfried:
Fingerprints, barcode sequences and quasi-phylogenies : Tools for analysing polyphonic music.
In: PLOS ONE.
Vol. 18
(2023)
Issue 3
.
- pp. 1-14.
- e0280478.
ISSN 1932-6203
DOI der Verlagsversion: https://doi.org/10.1371/journal.pone.0280478
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Abstract
A data flow is presented for visualising the evolution of elementary structures of polyphonic music from early Baroque to late Romantic, using quasi-phylogenies based on fingerprint diagrams and barcode sequence data of 2-tuples of consecutive vertical pitch class sets (pcs). The present methodological study, which sees itself as a proof of concept for a data-driven approach, uses examples of music from the Baroque, the Viennese School and the Romantic era to show that such quasi-phylogenies can be generated from multi-track MIDI (v. 1) files that largely correspond to the eras and the chronology of compositions and composers. The method presented is considered to have the potential to support the analysis of a wide range of musicological questions. In the context of collaborative work on quasi-phylogenies of polyphonic music, a public data archive could be established that provides multi-track MIDI files with contextual data.
Further data
Item Type: | Article in a journal |
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DDC Subjects: | 500 Science > 570 Life sciences, biology |
Institutions of the University: | Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Former Professors > Professor Mycology - Univ.-Prof. Dr. Gerhard Rambold Faculties Faculties > Faculty of Biology, Chemistry and Earth Sciences Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Former Professors |
Language: | English |
Originates at UBT: | Yes |
URN: | urn:nbn:de:bvb:703-epub-7583-4 |
Date Deposited: | 18 Mar 2024 12:29 |
Last Modified: | 18 Mar 2024 12:30 |
URI: | https://epub.uni-bayreuth.de/id/eprint/7583 |