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Fingerprints, barcode sequences and quasi-phylogenies-Tools for analysing polyphonic music
Gerhard Rambold1, Dieter Neubacher2, Siegfried Schießl3
1University of Bayreuth, Bayreuth, Germany.
Plos One
|March 2, 2023
Summary
This study introduces a data-driven method to visualize music evolution using quasi-phylogenies. It demonstrates how musical structures from Baroque to Romantic eras can be mapped, aiding musicological analysis.
Area of Science:
- Musicology
- Computational Musicology
- Data Visualization
Background:
- Analyzing the evolution of musical structures across historical periods is complex.
- Traditional musicological methods may not fully capture large-scale structural changes in polyphonic music.
- Digital music data offers new avenues for quantitative analysis.
Purpose of the Study:
- To present a novel data flow for visualizing the evolution of elementary structures in polyphonic music.
- To demonstrate a data-driven approach as a proof of concept for musicological research.
- To explore the potential of quasi-phylogenies for understanding musical historical development.
Main Methods:
- Utilizing quasi-phylogenies derived from fingerprint diagrams and barcode sequence data of consecutive pitch class sets (pcs).
- Processing multi-track MIDI (Musical Instrument Digital Interface) version 1 files.
- Analyzing musical examples spanning the Baroque, Viennese School, and Romantic eras.
Main Results:
- Successfully generated quasi-phylogenies from multi-track MIDI files.
- The generated phylogenies largely correspond to the chronological order of musical eras and composers.
- The method provides a visual representation of musical structure evolution.
Conclusions:
- The presented data flow offers a viable method for visualizing the historical evolution of polyphonic music structures.
- This data-driven approach has the potential to support diverse musicological research questions.
- Establishing a public data archive for multi-track MIDI files with contextual data is proposed for collaborative research.
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