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 Conference Proceedings
%A Dessein, Arnaud
%A Cont, Arshia
%A Lemaitre, Guillaume
%T Real-time polyphonic music transcription with non-negative matrix factorization and beta-divergence
%D 2010
%B International Society for Music Information Retrieval (ISMIR)
%C Utrecht
%P 489-494
%F Dessein10a
%X In this paper, we investigate the problem of real-time polyphonic music transcription by employing non-negative matrix factorization techniques and the beta-divergence as a cost function. We consider real-world setups where the music signal arrives incrementally to the system and is transcribed as it unfolds in time. The proposed transcription system is addressed with a modified non-negative matrix factorization scheme, called non-negative decomposition, where the incoming signal is projected onto a fixed basis of templates learned off-line prior to the decomposition. We discuss the use of non-negative matrix factorization with the beta-divergence to achieve the real-time decomposition. The proposed system is evaluated on the specific task of piano music transcription and the results show that it can outperform several state-of-the-art off-line approaches.
%1 6
%2 3
%U http://articles.ircam.fr/textes/Dessein10a/