搜索资源列表
gg
- Its a GMM code gmr, matrix, vector etc codes are very useful
bgd-2.cpp.tar
- This is a background subtraction program using GMM method. It uses a webcam.
GMM_test1
- This file is for GMM TEST
GAUSSIANloglikelihood
- GMM高斯混合模型大规模概率对数计算 需要一个模型地址文件和一个需要识别的声音的mfc文件可以一次执行大批量-GMM Gaussian mixture model probability on the number of large-scale computing need a model of address file, and the voice of the mfc file which need to be identified .can be an implementation
GMM_background_src
- 基于有限混合高斯模型的数据分类 1、使用基于有限高斯混合模型的EM算法对数据样本进行归类 2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验 -Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data sam
kmean
- k均值归类方法 可用于训练初始的混合高斯参数-k mean cluster for initialization of GMM
sMOGcolor_simulink
- 颜色高斯模型在simulink 下的模型对应的sfunction表示方法-colored gmm s sfunction at simulink
GMM-GMR-v2.0
- 基于泛化自回归的源模型，以及在这个模型基础上的EM算法实现-Generalization based on the source from the regression model, as well as in the model based on EM algorithm
gaussmix
- gmm distribution writer
voice1
- program for gmm distribution calculation of speech features
MFCC
- 基于HTK的MFCC提取。通过验证是完全正确的，不是不负责任的随便乱写给出结果。编译环境是codeblocks-Based on HTK' s MFCC extraction. Validation is absolutely correct, not irresponsible given the results of random scrawl
EM_GM
- 这是关于说话人识别很好的源程序，对研究GMM模型的说话人识别有很好的价值。-They are programms about speaker recognition, and they are helpful to the study about GMM speaker recognition.
cluster-3.1
- speech processing for g-speech processing for gmm
libsvm
- 基于matlab的SVM（支持向量机）算法。作为非常流行的svm工具，可以实现基于SVM的数据分析，能够应用于人工智能及模式识别领域。-Matlab based on the expectation-maximization algorithm for Gaussian mixture model (GMM) toolkit. GMM-based data can be analyzed, can be used in the field of artificial intelligence a
my-paper
- effecient speech recognition using wavelet and g-effecient speech recognition using wavelet and gmm
GMM
- this document may be good for you, finding detecting object
speech-emotion-recognition-system
- gmm模型下的语音情感识别系统，GMM只是一个数学模型，只是对数据形态的拟和，但是和你所看到的数据分布存在出入也是正常的，因为用EM估计GMM的那些参数时，一般假设我们所得到的数据是不完备的（也就是说假设我们看到的数据分布不是真正的分布，它在运算时把那部分丢失或者叫隐藏的数据“补”上了）-gmm model speech emotion recognition system, GMM is a mathematical model, but fitting the data form, but
speakerrecognition
- 本程序是基于matlab的语者识别系统。采用mfcc算法进行提取语音特征，用gmm算法进行匹配。-This procedure is based on a speaker recognition system matlab. Mfcc algorithm using speech feature extraction, matching algorithms using gmm.
10.1.1.4.2135
- Usually, speaker recognition systems do not take into account the short–term dependence between the vocal source and the vocal tract. A feasibility study that retains this dependence is presented here. A model of joint probability functions of the pi
js_gmm_Lee
- 根据Lee与2005年发表的混合高斯模型背景建模的论文编写的源代码，可以作为对GMM算法改进的一个参考。-According to Lee s paper published in 2005 about GMM background modeling, it is written in C. It should be a reference for those who are intrested in GMM algorithm improvement.