[en] This paper describes the recent progress in our approach to generate performative and controllable speech. The goal of the performative HMM-based speech and singing syn- thesis library, called Mage, is to have the ability to generate natural sounding speech with arbitrary speaker's voice characteristics, speaking styles and expressions and at the same time to have accurate reactive user control over all the available production levels. Mage allows to arbitrarily change between voices, control speaking style or vocal identity, manipulate voice characteristics or alter the targeted context on-the-fly and also maintain the naturalness and intelligibility of the output. To achieve these controls, it was essential to redesign and improve the initial library. This paper focuses on the improvements of the architectural design, the additional user controls and provides an overview of a prototype, where a guitar is used to reactively control the generation of a synthetic voice in various levels.
Disciplines :
Physics
Author, co-author :
Astrinaki, Maria ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
D'alessandro, Nicolas ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Reboursière, Loic ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Moinet, Alexis ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Dutoit, Thierry ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Language :
English
Title :
Mage 2.0: New features and its application in the development of a talking guitar
Publication date :
27 May 2013
Event name :
13th Conference on New Interfaces for Musical Expression (NIME'13)
Event place :
Daejeon + Seoul, South Korea
Event date :
2013
Research unit :
F105 - Information, Signal et Intelligence artificielle
Research institute :
R450 - Institut NUMEDIART pour les Technologies des Arts Numériques