搜索资源列表
vqKmeans
- Test k-means on 2-D data
KLT
- 模式识别k-means法与k-l变换做的特征提取
cskmeans
- 语音识别的K－means算法，语音识别的K－means算法语音识别的K－means算法
speaker1PGMM
- 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
cvap3.5
- CVAP includes 4 External validity indices, 14 Internal validity indices and 5 clustering algorithms (K-means, PAM, hierarchical clustering, SOM and etc.). It supports other clustering algorithms via loading a solution file with class labels, or by ad
k_means
- k-means分类算法matlab 实现-k-means clasifier
GMM
- this another gmm training matlab source code. it use k-means for initialization of parameter before trainig, not LBG algirhtm. so it is very helpful for GMM training-this is another gmm training matlab source code. it use k-means for initializati
HLab.tar
- A speech recognition training and decoding system. It uses segmental K-means algorithm for acoustic modeling, and synchronus Viterbi search for decoding.
KMeansCluster
- 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
mean-K-KPCA
- 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
matlab-km
- this k-means clustering algorithm codes in matlab, and it is for beginners-this is k-means clustering algorithm codes in matlab, and it is for beginners
GMM_EM
- 2类分类高斯混合模型 使用k-means的方法来初始化GMM， 基于EM算法计算出GMM模型参量。 测试GMM模型分别有2个，4个，8个混合成分-2-class classifier with Gaussian Mixture Models. Use the k-means method to initialize the GMM’s Then improve the GMM models iteratively based on the EM algo-rithm.
GMM
- k-means下的GMM训练模型，文档中包含源文件和头文件，详细介绍了如何用GMM去你和数据-GMM Model used by k-means and EM,
Speech Processing Analysis - MATLAB
- The number of states in GMM as the generative model of the frames is obtained using k-means algorithm. This also helps to initialize the mean vector and the covariance matrix of the individual state of the GMM. The training LPC frames collected fro