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.