Recherche

Recherche simple

Recherche avancée

Panier électronique

Votre panier ne contient aucune notice

Connexion à la base

Identification

(Identifiez-vous pour accéder aux fonctions de mise à jour. Utilisez votre login-password de courrier électronique)

Entrepôt OAI-PMH

Soumettre une requête

	Consulter la notice détaillée
	Version complète en ligne
	Version complète en ligne accessible uniquement depuis l'Ircam
	Ajouter la notice au panier
	Retirer la notice du panier

English version

(full translation not yet available)

Liste complète des articles

Consultation des notices

Vue détaillée

Vue Refer

Vue Labintel

Vue BibTeX

%0 Book Section
%A Meudic, Benoît
%A Saint-James, Emmanuel
%T Automatic extraction of approximate repetitions in polyphonic MIDI files based on perceptive criteria
%D 2003
%E Uffe Kock Wiil
%B Computer Music Modeling and Retrieval
%C Berlin
%I Springer
%P 124-142
%F Meudic03a
%K pattern
%K musical analysis
%K perceptive
%K repetition
%X In the context of musical analysis, we propose an algorithm that automatically induces patterns from polyphonies. We define patterns as “perceptible repetitions in a musical piece”. The algorithm that measures the repetitions relies on some general perceptive notions: it is non-linear, non-symetric and non-transitive. The model can analyse any music of any genre that contains a beat. The analysis is performed into three stages. First, we quantize a MIDI sequence and we segment the music in “beat seg-ments”. Then, we compute a similarity matrix from the segmented sequence. The measure of similarity relies on features such as rhythm, contour and pitch intervals. Last, a bottom-up approach is proposed for extracting pat-terns from the similarity matrix. The algorithm was tested on several pieces of music, and some examples will be presented in this paper.
%1 4
%2 3
%U http://articles.ircam.fr/textes/Meudic03a