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

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.
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Conference papers
International Symposium on Computer Music Modelling and Retrieval (CMMR 2012), 2012, United Kingdom. pp.661-673, 2012


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Submitted on : Wednesday, June 27, 2012 - 11:56:45 AM
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Mathieu Giraud, Richard Groult, Florence Levé. Subject and counter-subject detection for analysis of the Well-Tempered Clavier fugues. International Symposium on Computer Music Modelling and Retrieval (CMMR 2012), 2012, United Kingdom. pp.661-673, 2012. <hal-00712554>

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