DocumentCode :
301789
Title :
Soft computing for real-time control of musical processes
Author :
Lee, Michael A. ; Wessel, David
Author_Institution :
Center for New Music & Audio Technol., California Univ., Berkeley, CA, USA
Volume :
3
fYear :
1995
fDate :
22-25 Oct 1995
Firstpage :
2748
Abstract :
In this paper, we present soft computing tools and techniques aimed at realizing musical instruments that learn. Specifically we explore applications of neural network and fuzzy logic techniques to the design of instruments that form highly personalized relationships with their users through self-adaptation. We demonstrate techniques for adapting sensor arrays and techniques for realizing highly expressive real-time sound synthesis algorithms
Keywords :
computerised control; electronic music; fuzzy logic; music; musical instruments; neural nets; real-time systems; fuzzy logic techniques; highly expressive real-time sound synthesis algorithms; learning systems; musical instruments; musical processes; neural network; real-time control; self-adaptation; sensor arrays; soft computing; Acoustic sensors; Adaptive arrays; Fuzzy logic; Humans; Instruments; Neural networks; Process control; Protocols; Real time systems; Sensor arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
Type :
conf
DOI :
10.1109/ICSMC.1995.538581
Filename :
538581
Link To Document :
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