语音识别中对声音的处理，端点检测的简单方法，利用ME做端点估计。...

改进的gmm（高斯混合模型）算法，是单一高斯几率密度函数的衍生-Improved gmm (GMM) algorithm, a single Gaussian probability density function of the derivative

本程序的压缩编码是G.729的编解码程序，其的算法是基于CS-ACELP的算法基础上的编码。用在语音通信中，例如手机中-This program s arithmetic is base on ITU G.729 Speech Vocoder, which is a CS-ACELP compressing coder, usually use in speech comunication, such as mobile phone.

CMU sphinx，是美国卡内基梅隆开发的开源语音识别系统，该程序用C编写，模块结构非常清晰，函数接口明了，非常适合用来进行二次开发。-CMU sphinx, is a Carnegie Mellon developed in open-source speech recognition system, the program is prepared to use C, the module structure is very clear, the function interface, clear, very suitable for secondary development.

基于VB+TTS的语音识别，可以实现简单的对话和控制，程序中使用了串口用来控制机器人的一些行为（毕业设计时做的）-VB-based TTS voice recognition, can achieve a simple dialogue and control, procedures used in the serial port used to control the behavior of some robot (design graduates do)

This function computes autocorrelation with a biased scaling.

pitch detection algorithms.

采用LMS算法的频域均衡技术研究,lms在频域均衡方面的应用。-LMS algorithm using frequency domain equalization technology research, lms balance in the frequency domain applications.

intel的ipp性能库的示例代码，在多核平台下可以充分利用多核的性能实现语音编码-intel performance library of ipp sample code, in multi-core platform can take full advantage of multi-core performance to achieve speech coding

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))