Spectrogram

语音识别，有详细的程序注释，正确率达到95 (Speech recognition, detailed program notes, the correct rate of 95 )

科大讯飞语音转文字源码是一个基于科大讯飞的语音转文字的例子源码，小编测试一下表示被着准确率惊呆了，之前小编用过其他的语音搜索类的工具，但是准确率总是不那么满意，用这个例子我试着读了杂志上的一段话，语速还略微快了一些，但是转换出来的文字只有两个字跟原文不一样，但是还是同音字。(IFLYTEK speech text source is a turn based on iFLYTEK speech text examples of the source code, test bit representation of the being accurate rate was shocked, before Xiaobian used other voice search tool, but the accuracy is always not so satisfactory, for this example I try to read a passage in the magazine, speed is slightly faster, but convert text only two words with the original text is not the same, but still homophones.)

多信号分离MUSIC的经典学习程序 对初学者帮助很大(it is a baisc and useful code of the multiple signal classfication for the beginners.)

语音信号处理，阵列为10阵元线阵，宽带和窄带波束形成(Speech signal processing, 10 sensors of microphone linear array,Broadband and narrowband beamforming)

基于vc++开发，dtw语音识别,MFCC参数(DTW recognice based on vc++)

1 训练 打开Matlab 使Current Directory为VQ所在的文件夹(比如：E:vq) 在Command windows中输入 ">

the document explains speech recognition using mel frequency cpstrum coeefficient and noise reduction method

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)

端点检测算法采用现阶段比较精确的时频方差检测法，模式识别和模板匹配采用的是改进后的DTW算法（主要是限定了DTW的搜索路径，进一步精确了DTW的平行四边形的形状，进一步的减少匹配中的参数存贮量以及多余的搜索路径）。(Endpoint detection algorithm uses more precise at this stage variance time-frequency detection, pattern recognition and template matching is based on the improved DTW algorithm (DTW is mainly limited to the search path, and further precision of the DTW parallelogram shape, and further reduction of matching the parameters in the storage volume as well as the extra search path).)

这里面的代码是2DPCA的。这篇文章发表在PAMI上,Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition.google搜索已经引用681次。这里的代码是原作者的。这个分类不太好，语音识别是最近的，这是模式识别里的经典算法。(matlab code of 2DPCA)