Application de réseaux de capteurs sans fils : apprentissage de chants polyphoniques corses

Abstract : This report presents the different steps to develop a software method for learning polyphonic songs based on the use of wireless sensors. This study within the UMR SPE University of Corsica, in collaboration with the association E Voce di U Cumune and the IRCAM, is part of a university project development and characterization of Corsican cultural heritage.The objective of this thesis is to provide a tool for learning polyphony. To do this we used sign language describing the Corsican musical scale. The aim of our work was to capture these gestures in order to associate each of them with a singing voice. This process which established the link between gestural language and singing involves several concepts which are:- Hand controller, which includes a set of sensors in a single unit to be the first building block of virtual instrument model.- The gestural capturing which allows acquisition, i.e. which translates into electrical signals and digital, the gestures performed.- Recognition that identifies the captured gestures and can differentiate hand posture.- Sound production is the final stage of the system and associated with each of the gestures made a singing voice to match desired note.This concatenation led us to propose a new tool for learning polyphonic songs which offers the possibility to manipulate voice, chant and polyphony without having no musical knowledge.
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Jean-Sébastien Gualtieri. Application de réseaux de capteurs sans fils : apprentissage de chants polyphoniques corses. Environnements Informatiques pour l'Apprentissage Humain. Université Pascal Paoli, 2013. Français. ⟨NNT : 2013CORT0012⟩. ⟨tel-01087415⟩



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