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2008-09-01 - Article/Dans un journal avec peer-review - Anglais - 12 page(s)

D'alessandro Nicolas, Babacan Onur , Bozkurt Baris, Dubuisson Thomas , Holzapfel A., Kessous L., Moinet Alexis , Vlieghe Maxime, "RAMCESS 2.X framework - expressive voice analysis for realtime and accurate synthesis of singing" in Journal on Multimodal User Interfaces, 2, 2, pp. 133-144

  • Edition : Springer, Dordrecht (Netherlands)
  • Codes CREF : Technologies de l'information et de la communication (TIC) (DI4730), Electricité courants faibles (DI2500)
  • Unités de recherche UMONS : Théorie des circuits et traitement du signal (F105)
  • Instituts UMONS : Institut NUMEDIART pour les Technologies des Arts Numériques (Numédiart)
Texte intégral :

Abstract(s) :

(Anglais) In this paper we present the work that has been achieved in the context of the second version of the Ramcess singing synthesis framework. The main improvement of this study is the integration of new algorithms for expressive voice analysis, especially the separation of the glottal source and the vocal tract. Realtime synthesis modules have also been refined. These elements have been integrated in an existing digital instrument: the HandSketch 1.x, a bi-manual controller. Moreover this digital instrument is compared to existing systems.

Identifiants :
  • DOI : 10.1007/s12193-008-0010-4