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Motivic Pattern Extraction in Music, and Application to the Study of Tunisian Modal Music

Abstract : A new methodology for automated extraction of repeated patterns in time-series data is presented, aimed in particular at the analysis of musical sequences. The basic principles consists in a search for closed patterns in a multi-dimensional parametric space. It is shown that this basic mechanism needs to be articulated with a periodic pattern discovery system, implying therefore a strict chronological scanning of the time-series data. Thanks to this modelling global pattern filtering may be avoided and rich and highly pertinent results can be obtained. The modelling has been integrated in a collaborative pro ject between ethnomusicology, cognitive sciences and computer science, aimed at the study of Tunisian Modal Music.
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Olivier Lartillo, Mondher Ayari. Motivic Pattern Extraction in Music, and Application to the Study of Tunisian Modal Music. Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, INRIA, 2007, Volume 6, april 2007, joint Special Issue ARIMA/SACJ on Advances in end-user data mining techniques, pp.16-28. ⟨10.46298/arima.1876⟩. ⟨hal-01262353⟩

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