基于G.711、G.721、G.723协议的语音压缩编码C语言源代码

本人做的语音交互处理系统，需要安装chant speechkit支持。觉得有参考价值，故发上来共享。-I do interactive voice processing system, installed 6/29/05 speechkit support. Feel the reference value, made it onto sharing.

HTK3.4（HTK最新版)源码 + 可执行文件 + HTK book + 其他少量HTK资料（含中文）-HTK3.4 (HTK latest version) source+ Executable file+ HTK book+ Other HTK a small amount of information (including Chinese)

具有浮点指令的g.729语音压缩编码，符合ITU-T G.729 Annex C 规范，通过修改makefile可以支持windows/linux/solaris等操作系统，仅需要很少的更改就可以应用到voip领域-With floating-point instructions G.729 voice compression coding, in line with the ITU-T G.729 Annex C specification by modifying the makefile to support windows/linux/solaris and other operating systems, only a small change on the field can be applied to voip

研究生课程：语音识别(吴善培)- Graduate student curriculum: Speech recognition (Wu Shanpei)

这一个让你的网页拥有视频和语音功能的一个ActiveX控件!用起来很简单-this one allow you to the website has video and voice capabilities of an ActiveX control! Together with a very simple

VC下使用wavein/waveout的SDK进行录放音的Demo-use wavein VC/waveout SDK audio recorders for the Demo

本程序是用MATLAB编写的孤立词的语音识别的程序，包含mel倒谱分析以及单个词的语音识别。-This procedure is used to prepare MATLAB isolated word speech recognition procedures, including mel cepstrum analysis, and single-word speech recognition.

采用G.729的语言实时通信DLL(含测试源代码)-G.729 language used real-time communications DLL (including test source code)

语音信号预处理matlab程序，在7.0上运行通过，可以做实验参者代码。-Matlab voice signal pre-processing program, run through the 7.0, you can experiment with participation by the code.

该程序是非特定人语音识别程序，原来在SPCE500A下运行，能识别并应答16个命令，存储空间为128K字节。 //我们将其进行了修改，使其能在SPCE061A下运行，由于存储空间为32K字，只能识别并应答9个命令。 //在这个例程当中，我们示范了如何使用语音识别引擎对8个已经经过训练的命令进行识别。 //第一个命令 "Snoopy"，可以作为使能命令，也就是说使用者只能在该命令之后发出其他命令。 //例如，用户只有在发出 "Snoopy"命令并且听到响应"Snoopy here"之后才能继续下达其他命令 //如"How are you", "I love you",等等。 //当"Snoopy"命令响应之后，程序将等待8秒钟，如果没有其他命令发出， //系统将跳回到第0组，并且再次等待触发命令"Snoopy"。当用户的命令无法被识别时， //程序将响应为"Execuse me?", "I can t hear you!"或 "Say again!"这时用户可以再一次下达语音命令。-the procedures were non-specific voice recognition procedure, the original run in SPCE500A can identify and Response 16 orders, storage space for 128K bytes.// We had to amending it so that it can run in SPCE061A, storage space for 32K words, recognize only nine responses and orders.// This routine, we have demonstrated how to use voice recognition engine has eight pairs of trained orders for identification.// The first order "Jack Champion", as it can make an order, users can only say in the order issued after other orders.// For exampl