HarmonieAnalyse

HarmonieAnalyse is a term used in music theory and computational musicology to describe methods and tools for analyzing the harmonic structure of music. It encompasses traditional analytic practices—such as chord labeling, key determination, and functional analysis—alongside computational techniques designed to automate or assist these tasks. The term reflects a cross-disciplinary approach that combines tonal theory with data-driven methods.

Methodology comprises typical tasks including identifying chords, assigning roman-numeral functions, detecting modulations, and analyzing voice-leading. Approaches range from rule-based systems aligned with conventional tonal theory to statistical or machine-learning models trained on annotated corpora. Some implementations integrate concepts from Schenkerian analysis or jazz harmony, while others focus on chromatic or non-tonal repertoires.

It is used in education to illustrate harmonic relationships, in musicology to study large-scale works, and in music information retrieval to index and search by harmonic content. Analyses can operate on symbolic data (scores) or on audio through chord estimation pipelines. Evaluation typically relies on reference analyses and inter-annotator agreement, with metrics for chord labeling accuracy and functional labeling consistency. See also: Harmonic analysis, Harmony, Music theory, Chord recognition, Music information retrieval.