Vice

用MATLAB采集和播放一段（5s长，采样率为8k，每个样本位数8位）的语音信号。-Collection and use MATLAB for some players (5s long, sampling rate of 8k, each sample median 8) of the voice signal.

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

这是我在做实验时用到的语音处理分辨清辅音的代码，在matlab 7。0上运行通过。-This is what I was doing the voice processing used in experiments to distinguish voiceless consonant of the code, matlab 7. 0 to run through.

matlab中wave文件的频率解析代码，欢迎使用-Matlab which documents the frequency wave analysis code, welcomed the use of

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))

G.711语音编解码在CCS上实现的源代码-G.711 voice codec to achieve the CCS source code

LMS toolbox si a matlab code for least mean square algerion-LMS si a toolbox for Matlab code"s least mean quare algerion

mpeg2音频编码部分的测试原代码 需要的下载-mpeg2 audio encoding part of the testing needed to download the original code

基于matlab的自适应仿真，其算法都是LMS算法，有系统辨识，噪声对消，自适应滤波器，陷波器，图像的DCT变换-adaptive emulation based on LMS,include system recognise,noise canceler,adaptive filter,dct transform

语音信号处理工具包，是日本的一个大学开发的，对于HMM模型的建立很有帮助。-A tool box of speech processing, exploited by a Japanese university. It s quite helpful for setting up a HMM model.