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 Françoise, Jules
%A Caramiaux, Baptiste
%A Bevilacqua, Frédéric
%T A Hierarchical Approach for the Design of Gesture-to-Sound Mappings
%D 2012
%B Sound and Music Computing
%C Copenhague
%F Francoise12a
%K gesture
%K sound
%K hidden markov models
%K mapping
%K machine learning
%K gesture recognition
%K music
%K music interfaces
%K interaction
%X We propose a hierarchical approach for the design of gesture-to-sound mappings, with the goal to take into account multilevel time structures in both gesture and sound processes. This allows for the integration of temporal mapping strategies, complementing mapping systems based on instantaneous relationships between gesture and sound synthesis parameters. Specifically, we propose the implementation of Hierarchical Hidden Markov Models to model gesture input, with a flexible structure that can be authored by the user. Moreover, some parameters can be adjusted through a learning phase. We show some examples of gesture segmentations based on this approach, considering several phases such as preparation, attack, sustain, release. Finally we describe an application, developed in Max/MSP, illustrating the use of accelerometer-based sensors to control phase vocoder synthesis techniques based on this approach.
%1 6
%2 1
%U http://architexte.ircam.fr/textes/Francoise12a/