搜索资源列表
GMMspeakers
- 用高斯混合模型来实现说话人识别的源代码，识别效果挺好的-Using Gaussian mixture model to achieve the source code for speaker recognition, recognition results in very good shape
modelbasedonspectrumprediction
- 文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型-This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spec
mixtureBNT
- 上传-混合高斯贝叶斯网络分类器，有数据可以直接运行，互相交流，互相学习。-Upload- Gaussian mixture Bayesian network classifier, the data can be directly run, exchange, learn from each other.
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
GmixHMM
- 语音处理工具箱，有关高斯混合模型的matlab编程需要用到的工具。-the toolbox of speech processing
em
- MATLAB实现的EM算法，用于高斯混合模型的均值、方差、权重估计-EM algorithm based on MATLAB
mmvn_toolkit
- mmvn_toolkit matlab下多元高斯混合模型工具-具有产生、测试、查看功能-complete toolkit for generating, training, testing and viewing multidimensional gaussian mixtures
P_GMM
- 用于背景差分的高斯混合建模，实现运动目标检测，c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
em
- 基于EM算法的模型聚类的研究及应用，GMM高斯混合模型-EM-based clustering algorithm and its application model, GMM Gaussian mixture model
GMM-Libraries-for-Matlab
- GMM-GMR!高斯混合模型-高斯混合回归-Gaussian Mixture model-Gaussian Mixture Regression!
SSMS
- 基于高斯混合模型，经由一种高效率的EM-MAP算法，解决图像超分辨率重建问题-A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm.
pluskid
- 高斯混合模型的说明。对什么是高斯混合模型进行了较为详细的解释-Gaussian mixture model descr iption. What is the Gaussian mixture model for a more detailed explanation of
EM-source
- 一个高斯混合模型，用EM算法进行聚类的例子！-A Gaussian mixture model, EM algorithm for clustering with an example!
GMMsegmation
- 利用高斯混合模型进行视频前景运动目标的提取！请使用自己的AVI文件。-extract the foreground moving object using the Gaussian mixture model
gmm
- 混合高斯算法实现及一些自己对高斯混合模型的理解。-Gaussian mixture algorithm and some experience
EM
- 介绍EM算法原理及其实现，比较基础，常用于求解高斯混合模型-The book introduces the EM algorithm
mixturecode2
- 自适应的选择高斯混合模型个数，并用EM算法估计参数-Adaptive selection of the number of Gaussian mixture model and estimated parameters using EM algorithm
gmm-estimation
- 高斯混合模型的程序计算的Matlab程序-Gaussian mixture model program to calculate in Matlab
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
Gaussian-Mixtrure-with-Markov
- 高斯混合模型 马尔科夫随机场 目标检测 -Gaussian mixture model Markov random target detection