搜索资源列表
GMM
- GMM的说话人识别系统，识别效果90 多-GMM speaker recognition system, the recognition effect more than 90
GMM-Document-with-Matlab-code
- GMM－详细解释－with－Matlab代码-the document of GMM Matlab Code including
GMM
- 高斯混合模型，有详细的说明，而且有程序,希望下载，很有帮助的！-GMM including explanation and programs
GMM-Libraries-for-Matlab
- GMM-GMR!高斯混合模型-高斯混合回归-Gaussian Mixture model-Gaussian Mixture Regression!
em-algorithm-for-gmm
- 基于高斯混合模型(GMM)的em算法，给出了其matlab实现-em algorithm for GMM
GMM
- 做毕设是用到的gmm的matlab程序，测试过的 ，绝对可以用-Complete set is used to do the matlab program gmm, tested, can surely be
GMM
- 一种改进的混合高斯模型（GMM）算法，加入形态学滤波与团块处理算法，运动目标提取效果良好。(An improved hybrid Gauss model (GMM) algorithm, which combines morphological filtering and blob processing algorithm, achieves good moving target extraction.)
GMM-GMR-v2.0
- 统计概率模型 高斯混合模型的匹配，属于拟合类算法，可以用于2D 和3D数据(Expectation-Maximization estimation of GMM parameters. % This source code is the implementation of the algorithms described in % Section 2.6.1, p.47 of the book "Robot Programming by Demonstration: A %
GMM
- 比较好的高斯混合模型GMM，含数据生成，实验过程简单(A better Gauss mixture model GMM, including data generation, the experimental process is simple)
GMM-Code
- A two-stage mechanism of ECG classification using Gaussian mixture model(An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, preprocessing tha
GMM
- GMM()
GMM背景建模c++
- 混合高斯建模用于背景建模，用于背景检测，速度不是很快....C++语言(GMM background dectect)
GMM
- 此算法实现高斯混合，可以对初始聚类算法选择c均值和EM，可以实现密度估计和分类。(This GMM algorithm can estimate the density and class, the initial steps can select the C-mean and EM.)
Gmm
- 高斯混合模型,利用Ｃ++ OEPNCV来完成(This is a GMM model using C++ opencv to deal with it)
GMM-HMM-master
- GMM HMM()
GMM(1)
- python实现GMM算法，并使用NMI进行算法评估(Python implementation of GMM algorithm)
GMM-master
- GMM算法，可以用于处理经过处理后的语音特征来训练模型，用于语音识别(Expectation-Maximization estimation of GMM parameters.This source code is the implementation of the algorithms described in)
基于MFCC的GMM的语音识别
- 基于MFCC的GMM的语音识别，先是通过MFCC提取语音信号的特征向量，然后用GMM进行分类识别(Voice recognition of GMM based on MFCC.First, the feature vectors of speech signals are extracted through MFCC, and then classified by GMM.)
基于高斯混合模型（GMM）的说话人识别matlab
- 基于GMM的话者识别matlab程序，训练运行train.m,识别运行recog.m(speaker identification system based on GMM)
多维GMM聚类
- 该命令实现的是多维情况下的三维数据GMM聚类，该算法的缺点是使用matlab 对于大数据有计算机内存的要求。(This command implements GMM clustering of three-dimensional data in multi-dimensional situation. The disadvantage of this algorithm is that it requires computer memory for large data using matlab