高斯混合模型是單一高斯機率密度函數的延伸，由於GMM 能夠平滑地近似任意形狀的密度分佈，因此近年來常被用在語音與語者辨識，得到不錯的效果。-Gaussian mixture model is a single Gaussian probability density function of the extension, as the GMM can approximate arbitrary smooth shape of the density distribution, it is ofte

语音信号处理中关于概率密度的估计，分为参数法和非参数法两类。在此基础上用MATLAB做出了仿真。-Speech signal processing on the estimates of the probability density is divided into two types of parametric method and non-parametric method. On this basis, to make the simulation using MATLAB.