Olivier Lartillo ; Mondher Ayari
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Motivic Pattern Extraction in Music, and Application to the Study of Tunisian Modal Music
arima:1876 -
Revue Africaine de Recherche en Informatique et Mathématiques Appliquées,
August 27, 2007,
Volume 6, april 2007, joint Special Issue ARIMA/SACJ on Advances in end-user data mining techniques
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https://doi.org/10.46298/arima.1876
Motivic Pattern Extraction in Music, and Application to the Study of Tunisian Modal MusicArticle
Authors: Olivier Lartillo 1; Mondher Ayari 2,3,4
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Olivier Lartillo;Mondher Ayari
1 Département de Musique
2 Représentations musicales
3 Institut de Musicologie
4 Institut de Musicologie [Strasbourg]
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.