DocumentCode
2671750
Title
Morphing dynamical sound models
Author
Robel, Axel
Author_Institution
Tech. Univ. Berlin, Germany
fYear
1998
fDate
31 Aug-2 Sep 1998
Firstpage
409
Lastpage
418
Abstract
We investigate a new approach to sound morphing that is strictly in the time domain. It is based upon a method of modeling and synthesizing natural sounds with neural networks that has been introduced previously and is called dynamic or attractor modeling. By means of basic synthetic signals we investigate the fundamental properties of the proposed morphing scheme. Using two real world sound signals obtained from a saxophone we demonstrate the potential of the method when applied to complex natural sounds
Keywords
discrete time systems; neural nets; nonlinear dynamical systems; signal synthesis; time series; attractor modeling; dynamic modeling; dynamical sound models; natural sounds; neural networks; saxophone; sound morphing; synthetic signals; time domain; Algorithm design and analysis; Chaos; Instruments; Network synthesis; Neural networks; Signal analysis; Signal generators; Signal synthesis; Stability; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing VIII, 1998. Proceedings of the 1998 IEEE Signal Processing Society Workshop
Conference_Location
Cambridge
ISSN
1089-3555
Print_ISBN
0-7803-5060-X
Type
conf
DOI
10.1109/NNSP.1998.710671
Filename
710671
Link To Document