Description: 采用期望最大算法最优化初始高斯混合模型的程序，笔者借用ubm自适应方法，很好的解决了模型不收敛的问题。-expectations largest algorithm using optimization initial Gaussian mixture model procedures, the author borrowed ubm adaptive method, a good model is not the solution convergence problem. Platform: |
Size: 4096 |
Author: |
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Description: 计算高斯混合模型先验概率和后验概率的程序，采用大矩阵运算，大大提高了运行速度。-Gaussian mixture model calculated a priori probability and the probability of post-mortem procedures, using a large matrix computation, greatly improved speed. Platform: |
Size: 1024 |
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Description: 多高斯模型是检测运动目标的一种背景消减的方法，这是用matlab实现的-Multi-Gaussian model is the detection of moving targets in a background reduction method, which is achieved using matlab Platform: |
Size: 2997248 |
Author:马德强 |
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Description: 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) speaker identification could be achived. the progress in extraction is also indicated by progress bar.-Wavelet Subband coding for speaker recognitionThe 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) speaker identification could be achived. the progress in extraction is also indicated by progress bar. Platform: |
Size: 88064 |
Author:chan man man |
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Description: 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 Platform: |
Size: 1024 |
Author:qjc |
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Description: 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 Platform: |
Size: 39936 |
Author:Ruby |
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Description: 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! Platform: |
Size: 1024 |
Author:王良 |
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Description: 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 Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data. Platform: |
Size: 1034240 |
Author:ning |
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Description: 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 Platform: |
Size: 24576 |
Author:wangliang |
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Description: automatic Speaker recognition system using Gmm and Mf-automatic Speaker recognition system using Gmm and Mfcc Platform: |
Size: 576512 |
Author:vikram |
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Description: Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Paper investigates the performance of three automatic model selections based on Gaussian Mixture Model (GMM). These approaches are Bayesian information criterion (BIC), Bayesian Ying–Yang harmony empirical learning criterion (BYY-HEC) and Bayesian Ying–Yang harmony data smoothing learning criterion (BYY-HDS). Experimental evaluation of these methods is presented. Platform: |
Size: 243712 |
Author:ZCEEE |
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Description: 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 samples 2, using the C++ or Matlab programming environment to realize the algorithm, and with a given data packet to the algorithm correctness testing Platform: |
Size: 5120 |
Author:路江 |
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Description: 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 object detection(video object detection), visual surveillance, motion detection, motion tracking, visual object tracking, video object tracking, etc. Platform: |
Size: 16384 |
Author:朱亮亮 |
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Description: 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 Platform: |
Size: 2130944 |
Author:lifei |
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Description: 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.) Platform: |
Size: 2048 |
Author:西江哥哥 |
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Search - GMM using matlab