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《Computer Technology and Development》 2011-11
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Optimization of Parameter Estimation Based on Gaussian Mixture Model

ZHAI Ji-you1,ZHANG Peng2(1.Nanjing Institute of Technology,Nanjing 211167,China; 2.Nanjing University of Posts and Telecommunications,Nanjing 210003,China)  
EM algorithm is a common method to estimate the parameters of GMM.For its local convergence property,the EM algorithm is sensitive to the initial values and consequently lead to a subprime value.In order to optimize EM algorithm,combine the genetic algorithm with EM algorithm to improve it.Apply genetic algorithm parallel search and global optimization characteristics to voice conversion process.Compared with the traditional EM algorithm,the simulation results show that the improved algorithm has a small distortion measure values.So,the proposed method can improve the converted voice quality.
【Fund】: 南京工程学院高教研究重大课题(GY200802)
【CateGory Index】: TN912.3;TP301.6
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