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CAMAT_revamped – Updated Version of the CAMAT Tool with Extended Functionality
Zeit:
Freitag, 04.10.2024:
14:00 - 15:00
Ort:Raum 11.318
Gebäude 11
Lipezker Str. 47
03048 Cottbus
Sitzungsthemen:
Post-pandemic era, Internationalisierung und Digitalisierung. Herausforderungen der Musiktheorie in aktueller Forschung und Lehre
Präsentationen
Workshop Themen: Post-pandemic era, Internationalisierung und Digitalisierung. Herausforderungen der Musiktheorie in aktueller Forschung und Lehre Stichworte: symbolic music analysis, computer aided music analysis, MEI, symbolic music formats
CAMAT_revamped – Updated Version of the CAMAT Tool with Extended Functionality
Egor Polyakov
HMT Leipzig, Germany
In 2022, we introduced CAMAT (Pfleiderer et al., 2024), a Python/Jupyter-based toolbox for symbolic music analysis. In this workshop, we present “CAMAT_revamped,” an updated and overhauled version that includes numerous new features and improvements:
Full MEI and kern compatibility
Reworked plotting engine implementation (including the integration of Plotly and Bokeh libraries)
Full support for Verovio-based symbolic notation rendering within Jupyter notebooks
Integration of Self-Similarity Matrix-Plots (Foote & Cooper, 2001) based on symbolic music input
Integration of fuzzy template matching for motif and harmonic progression searches
Improved corpus-based search and statistical capabilities
During the presentation, we will showcase various example analyses using the updated CAMAT framework, including demonstrations on the Bach Chorale dataset as well as a variety of examples ranging from the 16th to the 20th century.
As part of our workshop, we will also discuss general strategies for gathering symbolic music data from available public domain internet resources. In particular, we will address the variety of current symbolic music formats and the tools available for annotation and editing. We will focus specifically on the latest developments within the MEI format and the associated tools.
References
Foote, J., & Cooper, M. L. (2001). Visualizing Musical Structure and Rhythm via Self-Similarity. International Conference on Mathematics and Computing.
Pfleiderer, M., Polyakov, E., & Nadar, C.-R. (2024). Analyse! Development and Integration of Software-Based Tools for Musicology and Music Theory. In J. G. R. H. J. P. R. T. M. Marrington (Ed.), Innovation in Music: Technology and Creativity (pp. 292-309). Taylor & Francis.
