It is developed with VC.It can test the trail of speech at realtime and provide...

简洁适用的基音周期提取程序,采用自相关和平均幅度差函数相结合的方法-Simple application of the pitch period extraction procedures, the use of auto-correlation and the average magnitude difference function method of combining

模式识别中关于 LMSE最小均方误差算法 一中算法-pattern recognition on the wan minimum mean square error algorithm an algorithm

这里主要我自己成果，是关于语音编码的，个人认为还可以，里面程序上传前经本人调试确认完全可用．有对多级矢量量化的程序（这个网上很少有），还有就是对MELP多帧参数的提取（这些网上也少见），还有就是统计子带清浊音概率的，还有一个我搜集的认为比较好的关于语音编码的英文文档．-Here the main results of my own, on the speech coding, and personally think that can also be inside the procedure before From my debugging can be used to confirm complete. There are of multi-stage vector quantization process (the online few), there is a multi-frame MELP parameters of the extraction (which are online also rare), there is statistical subband audio Qingzhuo probability, there is one I have collected think of a better speech coding on the document in English.

这是一个从音频信号里提取特征参量的程序，从事此方面的同志，不妨参考-This a signal from the audio extract features parametric procedures, engaged in this regard, the comrades might reference! !

完成基于MFCC的语音识别系统仿真，文件中带有完成语音识别训练的源文件-Completion of MFCC-based speech recognition system simulation, document the completion of speech recognition training with the source file

C#设计高精度语音识别程序。内有演示程序。-C# design accurate speech recognition procedures. Within a demonstration program.

Water s Level Measuring System with Serial Communication. -Water s Level Measuring System with Serial Communication.

基于Matlab编写的语音端点检测程序，比较基础，希望可以帮到需要的人-prepared based on Matlab voice endpoint detection procedures, a comparable basis, the desire to help people in need

关于SDK的 语音识别和语音合成的代码。 可以试试啊-On the SDK Speech Recognition and Speech Synthesis code. Try ah

LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h *p1 计算维纳解时最小均方误差 u=1/sum(eigs(R- LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h*p1 计算维纳解时最小均方误差 u=1/sum(eigs(R))