语音分析的一个工具箱,包括语音合成,语音编码,语音识别方面的一系列小函数,对语音分析很有帮助...

二相码编码与码组检测，利用matlab实现并仿真-Two-phase coding with code group detection, and to realize the use of matlab simulation

G.723语音编码 The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the quantizer scale factor, y(k), is determined by "unlocked" factor yu(k) only. The factor yl(k) and speed-contral factor al(k) are ignored.-G.723 speech coding The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the Quantizer scale factor, y (k), is determined by "unlocked" factor yu (k) only. The factor yl (k) and speed-contral factor al (k) are ignored.

写mp3文件格式的matlab 源程序-Mp3 file format to write the matlab source code

mmse改进的算法，关于语音增强的更进一步的算法-MMSE improved algorithm, with regard to the further speech enhancement algorithm

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))

DSK5416的语音采集与播放,音频模块是PCM3002.本人调试过,绝对正确-Voice DSK5416 acquisition and playback, the audio module is PCM3002. I debug, and absolutely correct

经典LMS算法极其示例,希望有人能让我分享个多输入的LMS算法-LMS algorithm is extremely classic example of the hope that someone will allow me to share more than the LMS algorithm input

Microsoft agent示例源程序，必须安装了Microsoft agent2.0以上 -Microsoft the agent demonstration source program, must install above Microsoft agent2.0

vorbis开发包及源码-vorbis development kits and source

lms的matlab程序仿真，可以实现lms的一些性能仿真-matlab simulation of LMS procedures, you can realize some of LMS performance simulation