一个好的演讲的语音编码语音压缩和语音编码MATLAB工具箱…

G711语音压缩源码-G711 voice compression FOSS

使用gabor变换作语音识别，下载自剑桥的实验室的网站，有兴趣的可以去网站上找资料-used for voice recognition, Cambridge downloaded from the website of the laboratory, interested parties can go to find information on the web site

这里主要我自己成果，是关于语音编码的，个人认为还可以，里面程序上传前经本人调试确认完全可用．有对多级矢量量化的程序（这个网上很少有），还有就是对MELP多帧参数的提取（这些网上也少见），还有就是统计子带清浊音概率的，还有一个我搜集的认为比较好的关于语音编码的英文文档．-Here the main results of my own, on the speech coding, and personally think that can also be inside the procedure before From my debugging can be used to confirm complete. There are of multi-stage vector quantization process (the online few), there is a multi-frame MELP parameters of the extraction (which are online also rare), there is statistical subband audio Qingzhuo probability, there is one I have collected think of a better speech coding on the document in English.

语音识别中的通道自相关函数，matlab版。自己编的，通过测试-Speech Recognition access autocorrelation function, Matlab version. His series, testing

CCS下调试通过的基于5416DSP及AIC23的语音数据调出、并播放。-CCS under the debugger through the AIC23-based 5416DSP and out of voice data, and play.

语音信号的频域处理,语音虽然是一个时变、非平稳的随机过程。但在短时间内可近似看作是平稳的。因此如果能从带噪语音的短时谱中估计出“纯净”语音的短时谱，即可达到语音增强的目的。由于噪声也是随机过程，因此这种估计只能建立在统计模型基础上。利用人耳感知对语音频谱分量的相位不敏感的特性，这类语音增强算法主要针对短时谱的幅度估计。 -voice signals in the frequency domain processing, voice is a time-varying, nonstationary random process. But in a short period of time can be approximated as smooth. So if Noisy Speech from the short-term spectrum estimate "pure" voice of the short-term spectrum, and reached speech enhancement purposes. As the noise is random process, which can only be estimated based on statistical models based on. Use ear perception of voice spectrum component of the phase sensitive to the characteristics of such speech enhancement algorithms targeted at the rate of short-term spectral estimation.

指纹识别的程序(c++)-Fingerprint Recognition Procedure (c)

语音合成软件，包括Freephone两个模块和Mbrora

利用Windows 系统中的语音系统发声,用户打开文本文件，将整个文件读出来。-use of the Windows operating system audible voice, the user opens a text file, the entire file read out.