文件名称:Gaussian_mixture_model
- 所属分类：
- Audio
- 资源属性：
- [Windows] [Visual C] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 62kb
- 下载次数：
- 0次
- 提 供 者：
- 杨**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
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 approximate arbitrary smooth shape of the density distribution, so it is often used in speech and speaker recognition in recent years.
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(系统自动生成,下载前可以参看下载内容)
下载文件列表
GMM高斯混合模型 VC
..................\alloc_util.cpp
..................\alloc_util.h
..................\classify_util.cpp
..................\classify_util.h
..................\clust.cpp
..................\clust.h
..................\clust_defs.h
..................\clust_invert.cpp
..................\clust_io.cpp
..................\clust_io.h
..................\clust_util.cpp
..................\clust_util.h
..................\eigen.cpp
..................\gmm_lib.h
..................\GMM_Lib_New.dsp
..................\GMM_Lib_New.dsw
..................\GMM_Lib_New.ncb
..................\GMM_Lib_New.opt
..................\GMM_Lib_New.plg
..................\invert.cpp
..................\Readme.txt
..................\Release
..................\StdAfx.cpp
..................\StdAfx.h
..................\subcluster.cpp
..................\subcluster.h
..................\alloc_util.cpp
..................\alloc_util.h
..................\classify_util.cpp
..................\classify_util.h
..................\clust.cpp
..................\clust.h
..................\clust_defs.h
..................\clust_invert.cpp
..................\clust_io.cpp
..................\clust_io.h
..................\clust_util.cpp
..................\clust_util.h
..................\eigen.cpp
..................\gmm_lib.h
..................\GMM_Lib_New.dsp
..................\GMM_Lib_New.dsw
..................\GMM_Lib_New.ncb
..................\GMM_Lib_New.opt
..................\GMM_Lib_New.plg
..................\invert.cpp
..................\Readme.txt
..................\Release
..................\StdAfx.cpp
..................\StdAfx.h
..................\subcluster.cpp
..................\subcluster.h