这个是 系统辨识与自适应控制MATLAB仿真一书中的 源程序，现在免费给大家分享了！有需要的朋友抓紧了！...

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.

简单的模式识别的分类算法（K_均值算法）程序的使用方法简单就不介绍了！-The classification of simple pattern recognition algorithm (K_ means algorithm) to use the procedure does not introduce a simple!

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.

C54X语音压缩编码，采用ADPCM算法，- C54x speech compress codec,based on ADPCM algorithm.

此方案基于全极点语音产生模型，编码过程简述如下：首先通过线性预测分析方法提取声道滤波器参数；其次通过合成分析法确定最佳激励矢量；最后将滤波器参数和最佳激励矢量进行编码传输。-This program is based on all-pole speech production model, the encoding process summarized as follows: First, by linear prediction analysis to extract channel filter parameters followed by analysis by synthesis method to determine the best incentive vector Finally, the filter parameters and the best incentive vector encoded transmission.

我的语音直接波形矢量量化器,一个简单的例子.没有考虑有噪信道下的VQ-er设计-my voice waveform vector quantization directly with a simple example. Noise is not considered under the Channel VQ-er design

这是一个流行的语音信号处理工具包，在语音识别方面很有帮助-This is a popular voice signal processing toolkit, the helpful voice recognition

里边包含了详细的代码及所需的音频文件，很详细，实现语音识别系统。-Inside contains a detailed code and the required audio files, in great detail, the realization of speech recognition system.

匈牙利算法的实现，比较简单，本人自己写，望大家赐教-Hungarian algorithm is simpler, I wrote it myself, hope everybody with us