通过语音mfcc特征参数提取采用k均值算法实现说话人识别功能

说话人识别GMM模型训练MATLAB程序，需要和voicebox配合使用，使用voicebox提取MFCC和k均值分类，这是GMM说话人识别模型的训练程序。-Speaker Recognition GMM model training MATLAB program used in conjunction with and voicebox, voicebox extract MFCC and k-means classification, which is a GMM speaker recog

k均值聚类的VC++实现，适合语音等方面聚类之用-k means clustering of VC++ implementation of voice, etc. for use in cluster

通过核 K- 均值聚类的方法对语音帧进行聚类 , 由于聚类的中心能够很好地代表类内的特征, 用中心样本帧取代该类, 减少了核矩阵的维数, 然后再采用稀疏 KPCA方法对核矩阵进行特征提取。-Through the nuclear K-means clustering method for clustering of speech frames, the cluster center can be a good representative of the class characteristics

对语音信号的特征参数的K均值聚灯函数的MATLAB实现-voice kmeans