Projects

The Computer-Assisted Music Analysis Toolbox brings MEI, Python, and Jupyter notebooks into musicological research and teaching. It connects score editing and facsimiles with note and event tables, piano-roll visualisations, and searches for motifs, chord progressions, and textures. Notebook workflows retain links to the source notation and can also run in the browser through Jupyter4NFDI.

AudioSpylt is a Python toolbox, inspired by AudioSculpt and OpenMusic, built for in-depth audio analysis, advanced signal processing, and interactive visualization.

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

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