搜索资源列表
SpeakerRecognition
- Speaker Recognition by training GMM models for the speakers in the system. Also tells if there s an impostor in the system.
GmmDetector
- Cuda GMM detector write on visual c-Cuda GMM detector write on visual c++
GMM
- matlab 实现的基于GMM的说话人识别系统-matlab implementation of the GMM-based speaker recognition system
gmm
- fast EM GM algorithm solving long computation time in matlab
GMMandEMandBICProgramm
- 模式识别 关于GMM+EM+BIC，请运行附件的程序。主程序：VASceneAnalysisFH7_ICMEFull_2009.m -Pattern Recognition on the GMM+ EM+ BIC, please run the attached file. Main program: VASceneAnalysisFH7_ICMEFull_2009.m
gmmem_several
- GMM是语音识别中比较成熟的算法之一，这个MATALB完整的实现了基于GMM算法的识别训练程序，可以适用于GMM识别和学习的同行的参考-GMM is a speech recognition algorithm for the more mature one, this MATALB full implementation of the identification algorithm based on GMM training procedures, can be applied to GMM
GMM
- 用vc寫的背景模組,可以用來在你想要的程式去研究其他的用途-this is a vc code to build background model , then can used to your program for other something research
VTraffic(thread_no_leak)
- VC6.0+opencv环境下运动检测的实例，使用了帧差法、GMM方法等，可以对比不同建模方法的效果-VC6.0+ opencv environment, motion detection example, using the frame difference method, GMM methods, you can compare the effect of different modeling methods
GMM-modeling-and-EM
- 介绍Opencv这个图像处理库环境下的GMM建模与EM算法，从数学的角度深入分析高斯建模和EM算法-Introduce the the Opencv this image processing GMM modeling the EM algorithm in the library environment, in-depth analysis from a mathematical point of the Gaussian model and the EM algorithm
GMM
- 实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
Gaussian.mixture.model.Method
- 高斯混合模型是單一高斯機率密度函數的延伸，由於GMM 能夠平滑地近似任意形狀的密度分佈，因此近年來常被用在語音與語者辨識，得到不錯的效果。-Gaussian mixture model is a single Gaussian probability density function of the extension, as the GMM can approximate arbitrary smooth shape of the density distribution, it is ofte
GMM
- 高斯模型的实现，vc 6.0环境下实现的源代码，对于初学者有很好的借鉴作用-The realization of Gaussian model, vc 6.0 environment to achieve the source code, for the beginners have a good reference
gmmtbx(1)
- GMM工具箱第一部分。包含了GMM算法的各个函数，对GMM建模很有帮助.-GMM first part of the toolbox. GMM algorithm contains all functions of GMM modeling helpful.
gmmtbx(2)
- GMM工具箱，第二部分。包含GMM建模的各种函数。-GMM toolbox, part II. GMM modeling contains a variety of functions.
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
HMM
- 简单明了的HMM-GMM-KEAMS调用接口，C环境使用。-Simple HMM-GMM-KEAMS Call Interface, C environments.
05-a
- 本文章描述了说话人识别中GMM模型中的聚类算法的研究-This article describes the GMM Speaker Recognition Model Clustering Algorithm
Gaussian_mixture_model
- 高斯混合模型[Gaussian mixture model,简称GMM]是单一高斯机率密度函数的延伸,由於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语音与语者辨识,得到不错的效果。 -Gaussian mixture model [Gaussian mixture model, referred to as GMM] are single-Gaussian probability density function of the extension.GMM can approxi
gmmbayestb-v1.0.tar
- gmm和bayes估计，适合于图像处理中图像分割。-gmm and Bayes estimates, suitable for image processing in image segmentation.
a_novel_speake_identification_system_based_on_GMM_
- 文中详细介绍了一种基于GMM 与 SVM的说话人识别系统。包括特征提取，算法实现及实验数据。对语音处理及说话人识别技术的研究者很有帮助。-Introduce a novel speake identification system based on GMM and SVM,with feature extract,algorithm research and experiment data.This doc would be helpful to those who are working on