语音识别再vc下开发

程序名：Guard.c //该程序是特定人语音识别 //在程序中通过三条语句的训练演示特定人连续音识别，其中第一条语句为触发命令。 //在程序开始首先训练触发命令，然后提示训练两条命令，训练完毕开始语音识别。 //当识别出触发名称后，发布命令则会听到应答-procedures Name : Guard.c// The procedure is a specific person voice recognition// procedures adopted by the three phrases of training people for a specific demonstration of the sound recognition, the first of which triggered an order for the statement.// First in the beginning of the proceedings training trigger orders, and then suggested training two orders completion of the training started to voice recognition.// Trigger out when name recognition, will be issued an order to hear responses

AppWizard has created this SRTest application for you.  This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your SRTest application. SRTest.dsp     This file (the project file) contains information at the project level and     is used to build a single project or subproject. Other users can share the

its an lpc code working for speech recognition

基于matlab 提取语音信号中的特征参数mfcc的源程序。-Matlab-based extraction of speech signal in the MFCC feature parameters of the source.

语音识别与合成系统. 里面有详细的介绍与程序-Speech Recognition and Synthesis System. There are a detailed introduction and procedures

语音识别中试程序,包括几个测试用的WAV文件和TCL脚本程序,用来测试语音类别-Speech Recognition test procedures, including several test WAV files and TCL scripts to test voice categories

Microsoft agent示例源程序，必须安装了Microsoft agent2.0以上 -Microsoft the agent demonstration source program, must install above Microsoft agent2.0

系统辨识与自适应控制MATLAB仿真CH6,好东西大家分享-System Identification and Adaptive Control of MATLAB simulation CH6, good things to share with you

用VC编的用于实时地对录音的轨迹的测试。可以自动显示-It is developed with VC.It can test the trail of speech at realtime and provide an auto display.

本课题为给语音识别系统提供语音信号端点检测的功能，对语音信号端点检测进行了探讨和研究,主要是侧重语音区间的端点检测...(附软件源码)-Voice Active Detection (VAD) is discussed in this project. Detection between speech section and speechless section and emphasized.(code available).