[en] In this paper we present a new method for the decomposition of musical sounds into causal and anticausal contributions. The algorithm is based on a particular separation of zeros of the Z-Transform (ZZT) of signal frames, currently used in speech processing for glottal source parameters estimation. Acoustics of two particular continuous interaction instruments (CII) - trumpet and violin - is discussed and the use of a mixed-phase model for synthesis is proposed. First results are presented and relevance of extracted causal and anticausal contributions is evaluated.
Disciplines :
Electrical & electronics engineering Library & information sciences
Author, co-author :
D'alessandro, Nicolas
Moinet, Alexis ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Dubuisson, Thomas ; 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 :
Causal/Anticausal Decomposition for Mixed-Phase Description of Brass and Bowed String Sounds
Publication date :
27 August 2007
Event name :
ICMC 2007 'Immersed Music' - International Computer Music Conference -
Event place :
Copenhagen, Denmark
Event date :
2007
Research unit :
F105 - Information, Signal et Intelligence artificielle
Research institute :
R450 - Institut NUMEDIART pour les Technologies des Arts Numériques
