轻松做出类似Foxmail MSN的界面的软件

语音识别技术是2000年至2010年间信息技术领域十大重要的科技发展技术之一 语音识别是一门交叉学科，语音识别正逐步成为信息技术中人机接口的关键技术，语音识别技术与语音合成技术结合使人们能够甩掉键盘，通过语音命令进行操作。语音技术的应用已经成为一个具有竞争性的新兴高技术产业。-voice recognition technology from 2000 to 2010 among the field of information technology in 10 major technologies voice recognition is one of an interdisciplinary, voice recognition is gradually becoming the information technology a key man-machine interface technology, voice recognition technology and voice synthesis technologies enable people to get rid keyboard, through voice commands to operate. The application of voice technology has become a competitive emerging high-tech industries.

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))

回音消除算法matlab,采用的VIRE的双方通话检测-Matlab algorithms eliminate echoes, the two sides call the VIRE Detection

该文章是语音去噪方面的，比较新，希望对大家有帮助-The article is a voice de-noising aspects, relatively new, we want to help

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.

可以讲mulaw语音数据转换成线性pcm数据-can speak mulaw voice data converted into linear data pcm

用MATLAB开发的语音识别中语音特征提取方法之一LPCC(线性预测倒谱系数）。-A MATLAB program for speech signal recognition using LPCC (Linear Predictive Cepstral Coding) one of the method for the pick up of speech character

matlab语音工具箱-voice Matlab Toolbox

Hidden Macrox Model

采用小波变换实现带噪语音信号的增强，供参考-Wavelet transform realize Noisy speech signal enhancement, for reference