Forschungsprojekte

Dies ist eine alte Version des Dokuments!

??: Computer-Aided Musicology

https://www.youtube.com/playlist?list=PL6QnpHKwdPYiXGSVolZa-DrvW02aw0Lio

Basale Musiktheorie mit dem Jupyter-Notebook - bei YouTube erklärt.

Digital Music Lab, London

https://dml.city.ac.uk/

Gemeinsames Projekt verschiedener Londoner Hochschulen.

ELVIS-Project, Montreal

https://github.com/ELVIS-Project

Ein wichtiges Projekt zur Analyse von Musiknoten, Montréal, Quebec, Canada, mit verschiedenen Tools. (Leider scheint das Projekt bereits ausgelaufen zu sein…)

Fabian Moss, Lausanne: Introduction to Musical Corpus Studies

https://fabianmoss.github.io/intro-corpusmus/build/html/index.html

Materialien zu einer LV an der Uni Köln, SoSe 2020 (vertraulich).

Manuel Burghart, Regensburg: Music XML Analyser

http://freakimkaefig.github.io/Music-XML-Analyzer/

Web-Tool für einfache Statistiken bei xml-Dateien.

Meinard Müller, Erlangen: FMP Notebooks

https://audiolabs-erlangen.de/fau/professor/mueller/notebookFMP

Juypter-Notebooks zu Meinard Müllers „Fundamentals of Music Processing“

Mingus

https://github.com/bspaans/python-mingus https://pypi.org/project/mingus/

Mingus is a package for Python used by programmers, musicians, composers and researchers to make and investigate music. At the core of mingus is music theory, which includes topics like intervals, chords, scales and progressions. These components are rigurously tested and can be used to generate and recognize musical elements using convenient shorthand where possible (for example some acceptable chords are: CM7, Am6, Ab7, G7).

On top of that are several packages that deal with classical notation, MIDI (sequencing, loading and saving), MusicXML, ASCII tablature, and many other useful and plain cool things like LilyPond and FluidSynth support. Everything is fully documentated, put into simple APIs and has a tutorial making it easy to jump straight in.