搜索资源列表
Test_GMM
- gmm test... gmm test... gmm test
GMMv1051014
- gmm test gmm test
hmm-1.03.tar.gz
- 语音识别中经典的HMM算法，包括产生序列、测试和参数训练，由C语言编写。, In speech recognition classical HMM algorithm, including has the sequence, the test and the parameter training, compiles by the C language.
gmmtest
- gmm estimation and significance test
GMM
- Gaussian Mixture Model test
GMM_test1
- This file is for GMM TEST
test
- GMM的matalab实现，通过对多个语种进行训练，然后得出每个语种的GMM模型，最终用于语种识别-GMM' s matalab achieved through training of more than one language, then come to the GMM model for each language, and ultimately for identifying languages
GMM_SID
- 用于说话人识别（声纹识别）中训练过程和识别过程的高斯混合模型程序-GMM model for the training process or test process of speaker identification
hmm
- 自己认真修改的程序代码，并且通过测试可以运行的！对HMM-GMM的初学者有用。-Own serious modify the program code, and the test can be run. HMM-GMM useful for beginners.
gmm3
- 使用GMM算法对文本特征进行分类，内涵训练集与测试集可以直接使用-Using the GMM algorithm to classify text features, content training set and test set can be used directly
Algoritmos
- Train and test a GMM model and a SVM model in matlab
GMMaEM_Classifier
- 采用GMM模型并用EM算法训练分类器，用Train.txt里的数据进行训练，用Test.txt的数据进行性能检测-Using GMM classifier model and EM training algorithm to train the classifier, use the training data in Train.txt to train the classifier and use the data in the Test.txt to test the perform
Ziheng_GMM
- gmm matlap code use lbg in train and test
GMM-Kmeans
- GMM及Kmeans算法实现，包含简单的测试程序，可直接在Linux下编译-GMM and Kmeans algorithm to achieve, including a simple test procedures, can be directly compiled under the Linux
GMM
- 高斯混合模型算法流程，一组测试数据进行分类，用osg显示-Gaussian mixture model algorithm process, a set of test data classification, using osg display
master2
- 基于GMM-HMM的语音识别程序,自带训练和测试数据，使用的是MATLAB。-GMM-HMM-based speech recognition program, comes with the training and test data, using MATLAB.
连老师pvar2
- 连玉君pvar模型stata程序包,可做GMM估计，格兰杰因果检验，脉冲响应函数(Lian Yujun pvar model stata package, can do GMM estimation, Granger causality test, impulse response function)
paper和程序
- pvar2包stata -pvar package 连玉君ilove包，用于GMM广义矩估计，格兰英杰因果检验、脉冲函数结果图分析(Pvar2 package Stata pvar package lianyujun Ilove package is used for GMM generalized moment estimation, Granger causality test and impulse function result graph analysis)