Titre :

Computational Fugue Analysis

Auteur(s) :

Giraud, Mathieu [Auteur]
Algomus
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Groult, Richard [Auteur]
Algomus
Modélisation, Information et Systèmes - UR UPJV 4290 [MIS]
Leguy, Emmanuel [Auteur]
Algomus
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Leve, Florence [Auteur]
Algomus
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Modélisation, Information et Systèmes - UR UPJV 4290 [MIS]

Titre de la revue :

Computer Music Journal

Pagination :

77-96

Éditeur :

Massachusetts Institute of Technology Press (MIT Press)

Date de publication :

2015

ISSN :

0148-9267

Mot(s)-clé(s) en anglais :

computational music analysis
fugues
musical structure
repeating patterns
contrapuntal music

Discipline(s) HAL :

Sciences de l'Homme et Société/Musique, musicologie et arts de la scène
Informatique [cs]/Autre [cs.OH]

Résumé en anglais : [en]

One of the pinnacle forms of classical Western music, the fugue is often used in the teaching of music analysis and composition. Fugues alternate between instances of a subject and other patterns and modulatory sections, ...
Lire la suite >One of the pinnacle forms of classical Western music, the fugue is often used in the teaching of music analysis and composition. Fugues alternate between instances of a subject and other patterns and modulatory sections, which are called episodes. Musicological analyses are generally built on these patterns and sections.We propose several algorithms to perform an automated analysis of a fugue, starting from a score in which all the voices are separated. By focusing on the diatonic similarities between pitch intervals, we detect subjects and countersubjects, as well as partial harmonic sequences inside the episodes. We also propose tools to detect subject scale degrees, cadences and pedals, as well as a method for segmenting the fugue into exposition and episodic parts.Our algorithms were tested on a corpus of 36 fugues by Bach and Shostakovich. We provide formalized ground truth data on this corpus as well as a dynamic visualization of the ground truth and of our computed results. The complete system showed correct or good results for about one half of the fugues tested, enabling us to sketch their design.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

Plateforme Recherche et Innovation dans les Environnements Visuels Numériques et Interactifs

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL