Open AccessDigitale Musikanalyse mit den Techniken der Music Encoding Initiative (MEI) am Beispiel von Kompositionsstudien Anton Bruckners
Author(s) -
Agnes Seipelt,
Paul Gulewycz,
Robert Klugseder
Publication year - 2021
Publication title -
die musikforschung/die musikforschung
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.101
H-Index - 4
ISSN - 0027-4801
DOI - 10.52412/mf.2018.h4.295
Subject(s) - musical , encoding (memory) , digital audio , new interfaces for musical expression , markup language , computer science , musical notation , notation , music theory , musicology , musical composition , art , visual arts , linguistics , speech recognition , xml , world wide web , philosophy , audio signal , artificial intelligence , speech coding
Studying the harmonic structures of a musical work and exploring its origins is one of the main tasks of traditional musicology. Since the advent of computer technologies, new tools for musical analysis emerged to gain new perspectives on well-known compositions. In the field of digital musical editions, the markup language MEI (Music Encoding Initiative) plays a prominent role for encoding musical notation with a musicological demand. This paper presents the current state of the project "Digital Music Analysis with MEI using the Example of Anton Bruckner's Compositional Studies". Its aim is to encode the "Kitzler Study book" written by Bruckner and to present it in a digital Edition. Also, the project explores the capability of MEI for an automatic or half-automatic harmonic analysis.