Title :
Differential Evolution for Frequency Modulation Sound Synthesis Parameter Identification
Author :
Xiong, Kai ; Wang, Hui
Author_Institution :
Dept. of Inf. Eng., Politec. di Torino, Turin, Italy
Abstract :
Frequency Modulation (FM) sound synthesis provides a neat synthesis method by which complex sound forms can be created simply and efficiently. However, it is difficult for traditional methods to find a best set of parameters in FM sounds synthesis because of the nonlinear parameter space. Differential Evolution (DE) is a recently proposed optimization technique which has shown excellent performance in many complex optimization problems. This paper presents an application of DE for FM sound synthesis parameter identification. Simulation results demonstrate that it is applicable to use DE for FM sound synthesis parameter identification.
Keywords :
frequency modulation; frequency synthesizers; optimisation; parameter estimation; DE; FM sound synthesis; differential evolution; frequency modulation sound synthesis parameter identification; optimization technique; Equations; Evolutionary computation; Frequency modulation; Genetic algorithms; Mathematical model; Optimization; Parameter estimation;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6250-6
DOI :
10.1109/wicom.2011.6040597