它是基于HMM模型和C++可连续发展…

达芬奇DM6446平台音频、视频，语音压缩编解码处理演示程序。-DaVinci DM6446 platform audio, video, voice compression codec processing demo.

vc开发的基于UDP协议的点对点语音聊天程序-UDP-based protocol-peer voice chat program

此方案基于全极点语音产生模型，编码过程简述如下：首先通过线性预测分析方法提取声道滤波器参数；其次通过合成分析法确定最佳激励矢量；最后将滤波器参数和最佳激励矢量进行编码传输。-This program is based on all-pole speech production model, the encoding process summarized as follows: First, by linear prediction analysis to extract channel filter parameters followed by analysis by synthesis method to determine the best incentive vector Finally, the filter parameters and the best incentive vector encoded transmission.

This a simple ADPCM Codec sample.-This is a simple ADPCM Codec sample.

julius是日本京都大学和一家日本公司开发的大词汇量语音识别引擎。 最新版为4.0.2-julius is Japan

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

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))

用matlab录音的程序，可实现。快下啊 -using Matlab recording procedures can be realized. Express under ah!

智能玩具语音识别报告-A report of speech recognition of intelligent toy.

一篇关于LMS和RLS算法应用于噪声抵消的matalb仿真论文，值得一看。-An article on the LMS and RLS algorithm is applied to noise cancellation of matalb simulation papers, worth a visit.