Olivier Lartillo ; Mondher Ayari - 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 - https://doi.org/10.46298/arima.1876
Motivic Pattern Extraction in Music, and Application to the Study of Tunisian Modal Music

Authors: Olivier Lartillo 1; Mondher Ayari 2,3

  • 1 Département de Musique
  • 2 Représentations musicales
  • 3 Institut de Musicologie

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.

https://doi.org/10.46298/arima.1876
Source: HAL:hal-01262353v1
Volume: Volume 6, april 2007, joint Special Issue ARIMA/SACJ on Advances in end-user data mining techniques
Published on: August 27, 2007
Submitted on: February 19, 2007
Keywords: pattern extraction, time-series data, closed pattern, periodic pattern, music analysis, tunisian modal music,extraction de motifs,séquences temporelles,motifs fermés,motifs périodiques,analyse musicale,musique modale tunisienne,[INFO] Computer Science [cs],[MATH] Mathematics [math]

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