doubleghost007-CSDN博客

原创 VC产生(生成)GUID

#include<stdio.h> #include<objbase.h> char* GuidToString(const GUID &guid); int main( int argc, char* argv[] ) { GUID guid; CoCreateGuid(&guid); printf( "GUID: %s", GuidToString( guid )

2010-10-12 22:46:00 973 1

转载 VS2008 添加ATL/WTL Wizard

(方便以后查阅) 1. 安装VS2008(VS2008VSTS)2. 解压WTL80.exe(http://www.microsoft.com/downloads/details.aspx?displaylang=en&FamilyID=e5ba5ba4-6e6b-462a-b24c-61115e846f0c)到VS2008的安装目录下的VC(如 C:/Program Files/Mi

2009-12-15 18:56:00 1002

SensorGraph_02.zip

蓝牙模块命令发送测试APP ， arduino sensor graph 蓝牙模块命令发送测试APP ， arduino sensor graph

2019-12-24

apache-nutch-2.3.1-src

apache-nutch-2.3.1-src.tar ，网络爬虫的源码，用ivy2管理， ant runtime 编译 apache-nutch-2.3.1-src.tar ，网络爬虫的源码，用ivy2管理， ant runtime 编译

2017-09-09

更改 lnmp 1.2 配置脚本，安装到指定目录

在 lnmp1.2 的基础上，修改默认安装路径/usr/local 到指定的 /opt/applications 目录，如果是其它目录，可修改替换配置文件中的 /opt/applications 值即可

2016-01-19

smart svn 8.6 for mac(内含详细破解文件及步骤)

最新的 smart svn 8.6.3 for mac 版, 内含安装文件及详细的破解说明和破解工具

2015-01-30

FreeSwitch默认配置的说明（译）

Freeswitch 的默认配置,除了部分内容,其中绝大部分不是为商用而设计的。这些配置是为展示 Freeswitch 能实现哪些功能,而不是为满足您商用的要求而设计。

2014-12-24

百问FreeSwitch（第二版）2014-08-18

余洪勇总结的百问FreeSwitch（第二版）更新于 2014-08-18

2014-12-24

语音识别基本原理（英文版）

Modern speech understanding systems merge interdisciplinary technologies from Signal Processing, Pattern Recognition, Natural Language, and Linguistics into a unified statistical framework. These systems, which have applications in a wide range of signal processing problems, represent a revolution in Digital Signal Processing (DSP). Once a field dominated by vector-oriented processors and linear algebra-based mathematics, the current generation of DSP-based systems rely on sophisticated statistical models implemented using a complex software paradigm. Such systems are now capable of understanding continuous speech input for vocabularies of several thousand words in operational environments. In this course, we will explore the core components of modern statistically-based speech recognition systems. We will view speech recognition problem in terms of three tasks: signal modeling, network searching, and language understanding. We will conclude our discussion with an overview of state-of-the-art systems, and a review of available resources to support further research and technology development.

2010-01-30

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