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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.rar
- 使用GMM模式建立的语音识别系统，matlab源代码，供大家参考！,GMM model using the speech recognition system, matlab source code for your reference!
YuyinShiyan
- 使用voicebox进行说话人识别,初步介绍如何用GMM（Gaussian Mixture Model）的方法来进行说话人辨识（Speaker Identification），并在Matlab下，尝试通过调整参数来提高得分-For speaker recognition using the voicebox, initially describes how to use GMM (Gaussian Mixture Model) approach to speaker recognition (S
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
- 本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual objec
GMM
- this code is for implementation of Gmm using Matlab
sbc
- Wavelet Subband coding for speaker recognition The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for pattern classification(VQ,GMM
GMM-GMR-v1.2
- 这是一款用matlab编写的GMM算法，有样例，实现用EM算法寻找GMM参数-This is a matlab prepared using GMM algorithm, there is a sample, look for implementation using EM algorithm for GMM parameter
GMM2
- 利用MATLAB编写GMM图像处理模块。具有较好的效果-GMM prepared using MATLAB image processing module. With good results. . .
GMM-GMR-v1.2
- GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Ex
201022817183340006
- 一个关于GMM实现的MATLAB的训练代码！很有用，用来检测纹理。-using to detection texture.
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
Gaussianm
- background subtraction using g-background subtraction using gmm
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.
GMM
- 使用Matlab编程实现GMM算法,不调用已有函数库，对大量点进行分类-LM algorithm using Matlab programming, do not call the existing library, a large number of points to classify
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.
Speech Processing Analysis - MATLAB
- 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 fro
gmm
- background subtraction using kmeans and gmm
SML
- 基于DCT-GMM的SML的图片聚类功能的算法实现，使用MATLAB语言(DCT-GMM based SML image clustering algorithm implementation, using the MATLAB language)
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