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Test k-means on 2-D data
Date : 2008-10-13 Size : 2.11kb User : 黎思

模式识别k-means法与k-l变换做的特征提取
Date : 2008-10-13 Size : 122.78kb User : 游旭

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
Date : 2008-10-13 Size : 1.64kb User : 在式朝

Test k-means on 2-D data
Date : 2025-12-31 Size : 2kb User : 黎思

模式识别k-means法与k-l变换做的特征提取-K-means pattern recognition method and kl transform to do the feature extraction
Date : 2025-12-31 Size : 123kb User : 游旭

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-Via voice MFCC feature extraction algorithm using k-means function of speaker recognition
Date : 2025-12-31 Size : 5kb User :

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-Speech Recognition K-means algorithm, speech recognition of K-means algorithm for speech recognition of the K-means algorithm
Date : 2025-12-31 Size : 1kb User : 在式朝

k阶距的动态聚类程序,对语音识别有帮助,希望大家看看!-k-distance dynamic clustering procedures, voice recognition will help, I hope to see everyone!
Date : 2025-12-31 Size : 4kb User : 海豚

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 adding new codes. And similarity metrics of Euclidean distance and Pearson correlation coefficient are supported.-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 adding new codes. And similarity metrics of Euclidean distance and Pearson correlation coefficient are supported.
Date : 2025-12-31 Size : 252kb User : tra ba huy

k-means分类算法matlab 实现-k-means clasifier
Date : 2025-12-31 Size : 1kb User : Z. Xie

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 initialization of parameter before trainig, not LBG algirhtm. so it is very helpful for GMM training
Date : 2025-12-31 Size : 5kb User : whchoi/GodDog

A speech recognition training and decoding system. It uses segmental K-means algorithm for acoustic modeling, and synchronus Viterbi search for decoding.
Date : 2025-12-31 Size : 13.21mb User : chanwcom

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
Date : 2025-12-31 Size : 227kb User : 魏亮生

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 of the sample frame to replace the class with the center, reducing the dimension of the nuclear matrix, and then use Sparse KPCA method for feature extraction of the nuclear matrix.
Date : 2025-12-31 Size : 181kb User : piano

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 recognition model training program.
Date : 2025-12-31 Size : 55kb User : 张晟

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
Date : 2025-12-31 Size : 2kb User : jj333

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. Investigate and report results for GMM s which have 2, 4, 8 mixture components respectively.
Date : 2025-12-31 Size : 3kb User : 王沛霖

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,
Date : 2025-12-31 Size : 7kb User : 温伟韬

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 from three speech segments are subjected to PCA for dimensionality reduction and are subjected to k-means algorithm. The total number of frames is equal to the total number of vectors that are subjected to k-means clustering.
Date : 2025-12-31 Size : 711kb User : Khan17
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