搜索资源列表
EM-GMM
- 利用EM算法实现高斯混合模型的优化，完成特征建模-Use of EM Algorithm to to achieve the the the optimization of of the Gaussian mixture model, to complete the Feature Modeling
daima
- 混合高斯模型 图像处理高斯混合模型(Gaussian而 xturemodel，简称GMM)是单一高斯概率密度函数的扩展和延伸，由于GMM能够平滑地近似任意形状的密度分布，因此近年来常被用在视频及语音信号的处理中-Gaussian mixture model for image processing
object-tracking
- 对视频作目标检测跟踪的VC++程序，使用了openCV开源库，包含帧差法、背景估计法、高斯混合模型法以及卡尔曼滤波。可正常运行。-VC++ program for target tracking,based on openCV, incuding multiple algrithms,such as Karlman filter.
T1001ziph
- 这是一篇详细介绍人脸检测与语音驱动口型的文章，其中使使用了高斯混合模型采取了无监督聚类的方法，希望对你有用。 -This is a detailed introducer face detection and voice-driven lip article, which makes use of a Gaussian mixture model to take unsupervised clustering methods, hope useful for you.
GMM_kmeans_mix
- 用于说话人识别（声纹识别）训练过程或识别过程的高斯混合模型-GMM model for training process or testing process of Speaker recognition
GMM_SID
- 用于说话人识别（声纹识别）中训练过程和识别过程的高斯混合模型程序-GMM model for the training process or test process of speaker identification
paper3
- 基于隐马尔可夫模型和高斯混合模型结合的声音转换方法.pdf-Combination of hidden Markov models and Gaussian mixture model-based voice conversion method. Pdf
GMM
- 使用openCV写的高斯混合模型前景分离作业。-Extract the foreground from video sequence using Gaussian Mixture Model（GMM）with openCV.
em(1)
- EM算法实现高斯混合模型参数估计的matlab程序，可以下载学习。-EM algorithm to achieve the matlab program Gaussian mixture model parameter estimation, you can download the study.
GMM-recognition
- 使用高斯混合模型（GMM），对声音信号进行识别，包括对特征参数的采集、训练和识别过程-Using the Gaussian mixture model (GMM)to realize the recognition of the sound signal, including the acquisition of the characteristic parameters,the training and the recognition process
mixture_of_gaussians
- 基于高斯混合模型的物体运动检测程序，简单易懂，直接可以使用-Object movement detection program based on inter-frame difference method is simple and easy to understand, can be used directly
rosyGaussModel
- 高斯混合模型实现视频图像的背景和前景的分离。输入为视频文件或者计算机上的摄像头。-Gaussian mixture model the background and foreground of the video image separation. The input video files or computer camera.
gaussian-mixture-model
- 基于高斯混合模型的背景减除法，及目标检测额实现-Based on the background of the gaussian mixture model reduction division, and target detection amount to realize
EM_GMM_3d
- 基于Expectation Maximization算法优化的高斯混合模型在3D图像数据聚类中的应用。-This is a 3D visualization of how the Expectation Maximization algorithm learns a Gaussian Mixture Model for 3-dimensional data.
training_NewSpeaker
- 高斯混合模型训练新的说话人模型用于说话人识别中-Gaussian mixture model training new speaker model for speaker recognition
gmmkmeans
- 高斯混合模型K均值算法matlab源程序用于说话人识别中-Gaussian mixture model K-means algorithm matlab source code for speaker recognition
pdfgauss
- 高斯混合模型pdfguass函数源程序用于说话人识别中，-Gaussian the mixed model pdfguass function source for speaker recognition
training
- 高斯混合模型对目标说话人识别的matlab源程序-Gaussian mixture model of the target speaker recognition matlab source
guassmatlab
- 高斯混合模型的matlab程序，需要配说明使用-Gaussian mixture model matlab program, with instructions to use
kalman-filter
- 卡尔曼滤波的仿真程序，高斯混合模型实现，分数阶统计程序，-gmm kalman filter