搜索资源列表
gaussmix
- GAUSSMIX fits a gaussian mixture pdf to a set of data observations
em
- 混合高斯概率密度模型,其参数估计可以通过期望最大化( EM) 迭代算法获得。-EM estimation parameters Gaussian mixture processes
pr2007.pdf
- The BYY annealing learning algorithm for Gaussian mixture with automated model selection
GAUSS
- Gray先生的大作，描述高斯混合矢量量化方法进行说话人识别的方法-Daisaku Mr. Gray describes the Gaussian mixture vector quantization approach to speaker recognition method
MixtGaussian
- Gaussian mixture model
GMM
- :高斯混合模型(GMM)是一种经典的说话人识别算法，本文在实现其算法的同时，主要模拟了不同噪声环境情况下高斯混合模型 (GMM)的杭嗓声性能，得到了一些有益结论。 -Gaussian mixture model (GMM) is a classic speaker recognition algorithms, this algorithm at the same time in fulfilling its main simulated environmental conditions
CvBSLibGMM(GMMbackgroundsubtraction)
- Implementation of background subtraction algorithm using Gaussian mixture model.
GMM-latentSpace-v2.0
- Gaussian Mixture Model
GmmTrainTestLBG
- it is a Gaussian Mixture Model(MATLAB version) for training and testing with some list or file. and it has references in enclosed rar file
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
hmm
- hmm文件时运用HMM算法实现噪声环境下语音识别的。其中vad.m是端点检测程序；mfcc.m是计算MFCC参数的程序；pdf.m函数是计算给定观察向量对该高斯概率密度函数的输出概率；mixture.m是计算观察向量对于某个HMM状态的输出概率，也就是观察向量对该状态的若干高斯混合元的输出概率的线性组合；getparam.m函数是计算前向概率、后向概率、标定系数等参数；viterbi.m是实现Viterbi算法；baum.m是实现Baum-Welch算法；inithmm.m是初始化参数；trai
EM_init_kmeans
- 高斯混合模型参数初始化程序，在对高斯混合模型的建立之前采用KMEANS算法进行初始化-Gaussian mixture model parameter initialization procedure, in the Gaussian mixture model is initialized before the algorithm used KMEANS
19_M-W-K-D-D_SPA2010_final
- This paper presents results of speaker recognition experiments using short Polish sentences. We developed and analyzed various vector quantization representations in order to first maximize identification effectiveness and second to compare VQ (vecto
attachments_2011_07_21
- this code is for voice recognition using gaussian mixture modelling developed in matlab environment. unauthorised voice will be rejected and only those recognized voice are accepted and played back
GMM_SR
- 基于高斯混合模型的说话人确认系统基于高斯混合模型的说话人确认系统-Recognized in the Gaussian mixture model-based speaker system
test1
- 基于高斯混合模型的说话人识别，可以直接运行-Based on gaussian mixture model the speaker recognition
A_MFCC_CMS_GM
- MFCC, cepstral mean substraction and Gaussian mixture for Speaker ID
A_MFCC_Fitures_Extration_CM
- MFCC, cepstral mean substraction and Gaussian mixture for Speaker fiture extration
gaussian4_28
- 用matlab实现混合高斯背景建模,进一步检测出运动目标-Using matlab to achieve Gaussian mixture background modeling
Gaussian-Mixture-Model
- Gaussian Mixture Model is a Model which is used to simulate the data set into a statistical model.