6533b835fe1ef96bd129f570
RESEARCH PRODUCT
Motivic Pattern Extraction in Music, and Application to the Study of Tunisian Modal Music
Mondher AyariOlivier Lartillosubject
mallintaminenpattern extractionEngineeringaikasarjatmusiikkiséquences temporelles[MATH] Mathematics [math]02 engineering and technology[INFO] Computer Science [cs]Space (commercial competition)computer.software_genre060404 musicanalyse musicalemusiikkianalyysi020204 information systemsmotifs périodiques0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]improvisointiTime series[MATH]Mathematics [math]modaalisuus (musiikki)Parametric statisticsmusic analysismotifs fermésbusiness.industrymusique modale tunisienneextraction de motifstunisian modal musicjaksolliset ilmiöt06 humanities and the artsGeneral MedicineClosed patterntime-series dataarabialainen musiikkiclosed patternMusic theoryEthnomusicologyArtificial intelligencebusinesscomputer0604 artsNatural language processingperiodic patterndescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2007-08-27 |