Abstract
We present MonodiKit, a Python library for the analysis and processing of medieval chant documents. While MonodiKit was designed specifically for working with data in the monodi+ data format as edited by the Corpus Monodicum project, its comprehensive set of tools and classes offers a wide range of functionalities, such as parsing and processing of chant documents, exploring their hierar- chical structure, managing metadata, generating musical notation, and extracting relevant information. The library thus enables re- searchers and scholars to conduct in-depth computational analyses of the chants, in particular by providing a basic interface to the more common MEI format. This paper introduces the key features of MonodiKit, presents its design and implementation, and presents a case study demonstrating its capabilities as an interface for corpus studies of medieval chant
Fabian C. Moss
Assistant Professor for Digital Music Philology and Music Theory
Fabian C. Moss is an assistant professor for Digital Music Philology and Music Theory at Julius-Maximilians University Würzburg (JMU), Germany.