搜索资源列表
GMM-GMR-v1.0
- gmm gmr gmm gmr
gmm
- Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space DIM, the number of centres in the mixture model and the type of the mixture model, and returns a data structure MIX.
gmm-gmr
- 这是一款用C++编写的实现gmm算法的程序，有样例程序，实现了EM算法来寻找GMM参数。
GMM_Gaussian Model Matlab代码
- GMM_Gaussian Model Matlab代码 有多个实例 直接可运行看结果 学习GMM很有帮助
GMM traing
- for GMM traing
GMM.rar
- 混合高斯建模是背景建模中的一种经典方法，对复杂背景具有较好的适应性！,Gaussian mixture modeling is modeling in the context of a classical method, the complex has better adaptability background!
lhgcxgmm.rar
- 自己采用opencv编写的程序，该程序主要实现运动目标的检测，采用背景减法里面的GMM混合高斯模型,Opencv prepared to adopt its own procedures, the procedures for major sports achieve target detection using background subtraction inside GMM Gaussian Mixture Model
gmm_test.rar
- 使用EM算法模拟高斯混合模型（GMM）的构成,Analog EM algorithm using Gaussian mixture model (GMM) the composition of
GMM.zip
- Gaussian Mixture Model Simulation Source,Gaussian Mixture Model Simulation Source
GMM_opencv.rar
- 用OpenCV实现的GMM背景建模，自己写的，一直在使用,Background modeling based on GMM(Development Environment: VC, OpenCV)
GMM.rar
- 完整的语音识别程序，训练模型固定。可以运行出识别结果的~,entire speech recognition programme,with the trainning model given.On matlab,we can get the result of recognition.
speakerrecognition
- 说话人身份识别程序，采用MFCC参数提取，并建立GMM模型来进行识别-Speaker identification procedures, using MFCC extraction, and the establishment of GMM model to identify
GMM
- 混合高斯模型的C++程序，封装成为C++的类，直接调用即可。-gaussian mixture model train code
GMM_EM
- E-step and M-step in G-E-step and M-step in GMM
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
BIC确定GMM聚类簇数
- 通过贝叶斯信息准则确定高斯混合聚类方法的聚类簇数(Determining the Cluster Number of GMM Clusters by BIC)