Subject and counter-subject detection for analysis of the Well-Tempered Clavier fugues

Mathieu Giraud; Richard Groult; Florence Levé

hal-00712554, version 1

Subject and counter-subject detection for analysis of the Well-Tempered Clavier fugues

Mathieu Giraud ()^a^, 1, 2, Richard Groult () ³, Florence Levé () ³

International Symposium on Computer Music Modelling and Retrieval (CMMR 2012) (2012) 661-673

Abstract: Fugue analysis is a challenging problem. We propose an algorithm that detects subjects and counter-subjects in a symbolic score where all the voices are separated, determining the precise ends and the occurrence positions of these patterns. The algorithm is based on a diatonic similarity between pitch intervals combined with a strict length matching for all notes, except for the first and the last one. On the 24 fugues of the first book of Bach's Well-Tempered Clavier, the algorithm predicts 66% of the subjects with a musically relevant end, and finally retrieves 85% of the subject occurrences, with almost no false positive.

a – CNRS
1: Laboratoire d'Informatique Fondamentale de Lille (LIFL)
CNRS : UMR8022 – Université Lille I - Sciences et technologies – Université Lille III - Sciences humaines et sociales – INRIA
2: BONSAI (INRIA Lille - Nord Europe)
CNRS : UMR8022 – Université Lille I - Sciences et technologies – INRIA
3: Laboratoire Modélisation, Information et Systèmes (MIS)
Université de Picardie Jules Verne : EA4290

hal-00712554, version 1
http://hal.archives-ouvertes.fr/hal-00712554
oai:hal.archives-ouvertes.fr:hal-00712554
From: Mathieu Giraud <>
Submitted on: Wednesday, 27 June 2012 11:56:45
Updated on: Wednesday, 27 June 2012 13:11:51

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