模式识别中关于 LMSE最小均方误差算法 一中算法

隐马尔可夫模型

LZW压缩解压的完整程序，不可多得，连输入输出参数都实现了。可立即下在编译-LZW compression decompression integrity procedures, rare, and even input and output parameters are realized. Immediately under the compiler

这是音频编解码源代码G11,G721,G731.-This is the audio codec source code G11, audio, G731.

This code is used to remove silence from a voice signal so that the recognition in voice recognition will give good result. The method is Scale on threshold applied to the envelope for detecting scilence periods. The actual threshold is computed by multiplying threshin" by the median value of the envelope samples. The default is (.25), whichis 25 of the median envelope value over input signal .-This code is used to remove silence from a voice signal so that the recognition in voice recognition will give good result. The method is Scale on threshold applied to the envelope for detecting scilence periods. The actual threshold is computed by multiplying threshin" by the median value of the envelope samples. The default is (.25), whichis 25 of the median envelope value over input signal .

语音处理中的LP算法的MATLAB程序，希望可以帮到需要的人-speech processing algorithm in MATLAB LP procedure, the desire to help people in need

一个改进后的VQ语音识别代码 自己编写和改进的 感觉效果还不错-An improved speech recognition VQ code I have written and improve the feeling of the effect of good

这是小弟在实验室做的说话人身份识别程序，采用MFCC参数提取，并建立GMM模型来进行识别。希望会对大家有帮助。-This is the boy in the laboratory to do the speaker identification procedure for the extraction of MFCC parameters and to establish GMM model to be identified. I hope everyone will help.

FSK demodulation telling how to do it after AWGN noise.

语音合成实例利用SAPI SDK，可以朗读文章，让文字变成声音-examples of the use of speech synthesis SAPI SDK can read the article, the words into voice

赤木正人教授在论文“Development of an F0 control model based on F0 dynamic characteristics for singing-voice synthesis”中提出的f0 vibrato模型的matlab实现-Professor Masato Akagi paper "Development of an F0 control model based on F0 dynamic characteristics for singing-voice synthesis" presented f0 vibrato model matlab implementation