Sint 时钟

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.

G.729a，语音编码，有库文件和API说明，属于Voiceage公司-G.729 annex A speech vocoder, inclue lib file and api example, from voiceage coporation

本程序实现用谱减法消除语音中的噪声，其中语音是纯净的，噪声是后加上去的，滤除效果良好-This procedure using spectral subtraction to eliminate the noise in the voice, which voice is pure, after noise is added, and filter out the effect of good

微软speechsdk的语音控制开发例子-Microsoft speechsdk example of voice control developed

本软件是一套完全基于神经网络的语音识别处理软件。 本软件为纯绿色软件，无须安装，解压到任意一个目录下，直接运行主程序 whd.exe ，卸载时删除所在目录即可，软件不会给系统留下任何垃圾，请放心试用，但为了您的数据安全，在使用时请先将重要数据保存备份，呵呵，我信不过微软啊:) 本软件使用的是本人自行开发的神经网络处理系统，但因工程浩大，且本人穷，只能独立编写，所以现在这个试用版所使用的神经网络系统并不完整，只实现了我最初设计的一半功能，识别效果还不是很理想，正在改进中:) 但还是希望大家能对软件提出宝贵意见，我的邮箱：whd_china@etang.com 或 yinshishan@sina.com -this a completely software based on neural network speech recognition processing software. The software for the pure green software, no installation, to extract an arbitrary directory and run the main program whd.exe. unloading directory will be deleted, the software system will not leave any garbage, please rest assured that trial. But for the sake of your data security, the post will be used to preserve important data backup, Oh, I trust Microsoft ah : ) This is the software I use to the development of the neural network processing system, but the project is a huge one, himself poor, only independent prepared, the trial version now used by the neural network system is incompl

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.

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2400 bps MELP语音编解码定点算法-2400 bps MELP speech codec fixed-point algorithm

2400bps MELP语音编解码源程序。-2400 MELP voice codec source.

文本语音转换示范代码-Text-to-Speech Model code