LMS adaptive filtering algorithm MATLAB procedures, have modified, you can watch...

这是用vc++编写的程序,在语音识别中经常用用到,是语音识别的第一步:time alignment. 分别用两种方式完成:1.非递归2.递归-This a vc++ program which is useful in voice recognizing and it is also the basic of the voice recognizing .I use two ways to accomplish it:1 nonrecursion 2.recursion

模拟语音信号的动态范围解压缩算法的matlab源码-Analog voice signal dynamic range compression algorithm solution matlab source

语音识别:语音矢量化及算法及与原文件的矢量对比功能源代码-Speech Recognition : Speech vector algorithm and the original document and the contrast vector function source code

LPC 10 Code,比较经过lpc编码与没有经过lpc编码的语音差别，用自相关法计算lpc参数。-LPC 10 Code, comparison, after encoding and not LPC LPC voice coding differences, using auto-correlation method to calculate LPC parameters.

采用MELP编制的压缩与解码程序，在MATLAB环境下可直接运行，语音2.4kb/s-MELP (Mixed-Excitation Linear Predictive) Vocoder is a new 2400 bps Federal standard speech coder. This Matlab code of MELP can run directly in MATLAB condition.

文章介绍的说话人识别系统，采用能够反映人对语音的感知特性的9(:频率倒谱系数（9(: (2/?8(’0+): 81(..-/-(20@，9

对声音进行图形分析-right voice graphical analysis

一个语谱分析的例子-A spectral analysis of the examples of language

FreeTTS（地三部分）-FreeTTS Part three

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))