GMM/GA Algorithm Based on Speaker Recognition
Yin Jun-xun · Audio Engineering · 2006
GMM(Gaussian Mixed Medel)has the advantages of calculating effectiveness and being easy to realiz-ed, especially in the real time condition. Based on ML(Maximum Likelihood)rule, the model parameter can be updated ceaselessly but due to mountain climbing character, the estimation of arbitrary original model parameter can lead local optimization. GA(Genetic Algorithm)is fit for solving complicated combination optimization and no-nlinear function optimization. GMM/GA algorithm based on speaker recognition which can solve the problem of in GMM local optimization is proposed. The experimental results show that the GMM/GA algorithm is better than GMM algorithm.