Research software

Projects

Open tools for symbolic-score analysis, audio research, and reproducible, notebook-based work in musicology and teaching.

CAMAT

Cloud-oriented toolbox for symbolic score analysis with MEI and MusicXML workflows — repertoire statistics, pattern discovery, and teaching transfer. Co-developed with Prof. Dr. Martin Pfleiderer and Christon-Ragavan Nadar; currently extended in the DFG cloud-toolbox project at HfM Weimar, secured together with Prof. Dr. Martin Pfleiderer.

Explore CAMAT

AudioSpylt

Python toolkit for audio feature extraction, interactive visualisation, and creative prototyping — analysis workflows that stay close to listening and studio practice.

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FFTimbre

Notebooks and utilities for FM and additive-synthesis timbre matching, with multi-metric evaluation. Bridges analysis and synthesis for research and teaching.

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beat_it

Research notebooks for analysing beat and tempo fluctuations from acousmatic music to electronic dance music.

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