搜索资源列表
GMMTRAIN
- 实现了从wave中读取数据,并通过mfcc提取特征系数。再通过分裂法聚类,最后使用EM算法建立GMM。
EM
- 该算法利用概率论中最大似然估计实现EM算法,通过对理论图像和统计图像的比较得出结果。-The algorithm uses the probability of the maximum likelihood estimate EM algorithm, the results of the comparison of theoretical imagery and statistical image.
MATLAB
- 关于matlab程序的源代码,主要是关于EM算法的程序实现-About the the matlab program' s source code, the program on the EM algorithm to achieve
EM-cPP
- 这是用C++实现的EM算法,简单易用,对于理解EM算法很有用,尤其是对于初学者。-This is the EM algorithm implemented with C++, easy to use, useful for the understanding of the EM algorithm, especially for beginners.
HMM_EM
- Hadoop隐马尔科夫模型的实现,有训练算法(EM),产生的模型参数可以用来单机使用,亲测可用,可供正在学习hadoop的同学参考-Implement Hadoop hidden Markov model, there are training algorithm (EM), the model parameters can be used to produce stand-alone use, pro-test available for reference students are lear
GMM
- matlab 实现GMM——EM算法,自动生产混合高斯分布,GMM算法的示例demo(matlab em gmm,Automatic production of mixed Gauss distribution, an example of GMM algorithm demo)