本文系统的介绍了语音识别的技术及其实现方法

计算声音信号的短时能量，过零率，然后检测语音的端点-Short-term calculation of the voice signal energy, zero-crossing rate, and then voice endpoint detection

一个基于DirectShow的语音采集与简单识别的例子程序，主要用于机器人的简单交互。包括C＋＋源代码。-a DirectShow-based Voice Acquisition and simple identification procedures example, Robot used mainly for the simple interaction. Including C++ source code.

关于SDK的语音识别和语音结合 的代码-On the SDK Speech Recognition and voice combined with the code

一个VC实现的,用G.729a实现的语言对讲的例子-a VC, using G.729a achieve language Talkback example

隐马尔科夫模型实现语音识别，该模型具有较好的识别效果，主要针对的是本科生的课程项目，有一定的学习价值。

时域波形、短时能量、短时平均幅度、短时过零率、短时过电平率-Time-domain waveform, short-term energy, short-term average rate, short-term zero crossing rate, short-term rates over Level

通过语音识别来控制程序的运行，支持英文。-Using speech recognition technology to control the runing of program. (English version)

LZW压缩解压的完整程序，不可多得，连输入输出参数都实现了。可立即下在编译-LZW compression decompression integrity procedures, rare, and even input and output parameters are realized. Immediately under the compiler

基于G.711、G.721、G.723协议的语音压缩编码C语言源代码-based on G.711, based on G.721 and G.723 voice compression agreement coding C language source code

自编的联合对角化程序，简单，清晰，并有痃详细的注解，带有两个波形文件，可直接显示结果。-jointly staged by the diagonalization procedure, a simple, clear and detailed explanation feast, with two waveform documents, The results can be shown directly.