C #设计精确的语音识别程序。在一个演示程序…

验证过的最稳定的G.729A愿代码. 用于WINDOWS-Tested the most stable G.729A is willing to code. Used for WINDOWS

语音识别 语音识别 语音识别 -Speech Recognition Speech Recognition Speech Recognition Speech Recognition Speech Recognition Speech Recognition

Epos, a freely distributable language independent Text-to-Speech system.

这是一个窗函数分帧函数，它在melcepst这个函数中被调用。（当然也可以用在平常的分帧）-This is a window function and sub-frame function, it melcepst this function is called. (Of course, can also be used in the usual sub-frames)

这是一个字符识别程序，主要利用关系码和方向码来识别汉字或者英文字符的手写识别-This is a character recognition procedures, using mainly between code and code to identify the direction of Chinese or English characters handwriting recognition

一个通过语音控制电脑动作的程序,使用到了微软speech sdk.在微软智能代理（Agent）技术上，整合了语音合成和语音识别技术.-A computer through voice control action procedures, the use of the Microsoft speech sdk. In Microsoft Agent (Agent) technology, the integration of speech synthesis and voice recognition technology.

MATLAB仿真LMS算法完整源代码，仿真结果分析，及仿真图示-MATLAB simulation of LMS algorithm complete source code, simulation results analysis, and simulation icon

CMU sphinx，是美国卡内基梅隆开发的开源语音识别系统，该程序用C编写，模块结构非常清晰，函数接口明了，非常适合用来进行二次开发。-CMU sphinx, is a Carnegie Mellon developed in open-source speech recognition system, the program is prepared to use C, the module structure is very clear, the function interface, clear, very suitable for secondary development.

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

"无损压缩算法代码包"是大家学习压缩技术的入门好帮手。- the source package of Lossless compress algorithm ,will show introduction to those who start to study on compression techniques.