Skip to Main content Skip to Navigation
Journal articles

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.
Document type :
Journal articles
Complete list of metadatas

Cited literature [22 references]  Display  Hide  Download

https://hal.inria.fr/hal-01262353
Contributor : Coordination Episciences Iam <>
Submitted on : Tuesday, January 26, 2016 - 4:05:17 PM
Last modification on : Monday, June 15, 2020 - 12:08:19 PM
Long-term archiving on: : Wednesday, April 27, 2016 - 1:20:15 PM

File

arima00602.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : hal-01262353, version 1

Citation

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, 6, pp.16-28. ⟨hal-01262353⟩

Share

Metrics

Record views

381

Files downloads

954