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Pitch Detection MATLAB

一个能实现对语音信号分帧的STFT和ISTFT的函数(Realize a sub-frame of the speech signal and the STFT of the function ISTFT)

计算语音的短时平均能量。可以作为清音和浊音的特征参数，可以作为有声无声的依据(Calculate the short-term average energy of speech. It can be used as a characteristic parameter of voiceless and unvoiced sounds, and as a basis for sound and silence.)

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).)

语音增强算法，基于人耳听觉掩蔽的维纳滤波(Subspace speech enhancement algorithm based on human auditory masking Wiener filter)

SVM分类器，针对语音信号的分类识别应用。内容非常多，大家可以筛选着利用。(SVMclassification)

基于矢量量化的孤立词语音识别系统看，性能良好，Matlab 实现！(Based on vector quantization of isolated word speech recognition system to see, good performance, Matlab to achieve!)

speaker recognition using MFCC GMM EM

语音合成软件，输入文字，自动生成声音文件，全部是源码(Speech synthesis software, input text, automatic generation of sound files, all the source code)

HMM语音识别的matlab程序，举了1-9几个数字的例子，对语音识别的程序进行了验证(HMM Speech Recognition program， cited the example of figures 1-9, the speech recognition process was validated)