wavelet

用MATLAB来实现谱减法降噪。有源程序和降噪先后的语音信号，有实验的结果图(Use MATLAB to achieve spectral subtraction noise reduction. There has voice source and noise signals, there are experimental results of Figure)

简单语音识别源码是一个调用讯飞语音识别SDK的例子源码是一个最纯净的Demo比较容易看懂。实现的是点击按钮开始语音监听，手机需要联网，2/3G的均可，识别后会以Toast的方式提示出来，识别率还是比较高的。之前自己是用别人的Demo总是不成功，是因为，讯飞的SDK想使用是需要APPID的，可能过太长时间久会注销，还有，未通过审核的APPID每天只能试用500次，如果太多人试用，就是达到上限导致无法使用。(A simple speech recognition source code is a call Ifly speech recognition SDK example source code is a demo of the purest easier to understand. The realization of the click button to start the voice listening, mobile phone need to networking, 2/3G can, after the recognition will be prompted by Toast way out, the recognition rate is still relatively high. Before he is with someone else s demo is not always successful, is because the Xunfei SDK to use is appid, may be too long for a long time will be canceled, and not through the audit appid every day can only be tried out 500 times, if too many people tried is reaching the limit to use.)

马尔科夫模型代码，包括连续马尔科夫和离散马尔科夫(HMM code,CHMM DHMM)

利用GMM训练模型，并用于说话人识别等相关领域，有不错的效果(GMM apply for text to speech)

通过语音分帧、端点检测、pitch提取、DTW算法，实现歌曲识别(Through voice framing, endpoint detection, pit extraction, DTW algorithm, song recognition is realized)

实现多个人的说话人识别，基于gmm模型，用mfcc参数训练(voice conversion based on gmm)

这是一个语音的文件的一个FFT转换文件,是用C++写的源程序,相信对大家有用(This is a voice of a paper document conversion FFT is written in C source files, it may be useful to think)

这是一个语音处理工具箱，提供了语音处理的基本函数，包括有分帧、能量计算、零交叉计算、多种方法的音调提取、共振峰提取。。。等等。(This is a speech processing toolbox provides the basic function of voice processing, including one of those who frame, energy calculation, zero cross-terms, various methods of pitch extraction, formant extraction. . . And so on.)

这是一个很好的频域分块自适应滤波的程序，应用于回声消除上，并与NLMS自适应滤波做了运行速度的比较,FLMS比NLMS快几十倍。(This is a very good frequency-domain block adaptive filtering procedure applied to echo cancellation, and comparison with the NLMS adaptive filter for speed, FLMS several times faster than the NLMS.)

基于熵的端点检测算法，比传统的端点检测能更精确的检测出端点(endpoint detection algorithm than the traditional endpoint detection more accurate detection of Endpoint)