G.729协议语音编解码 G.729协议语音编解码

语音信号端点检测的实验研究论文,希望对大家有点帮助-voice signal endpoint detection of experimental studies, we hope to help a bit

一个VC实现的,用G.729a实现的语言对讲的例子-a VC, using G.729a achieve language Talkback example

语音识别中的两种特征提取方法lpcc和mfcc，还有一个是文本无关的识别算法dtw，另外还有一个是预处理消噪部分的。共享一下，这些都是我调试过的，好用。-Speech Recognition two feature extraction methods and mfcc lpcc. There is a text-independent recognition algorithm dtw, in addition to a pretreatment is part of the noise source. Sharing that those are off the debugging and ease of use.

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

适用于语音识别中的说话人聚类-applied to speech recognition Speaker Clustering

我是做语音识别的，这是我做的一个关于端点检测的小程序，里面还有一个工具包-I have to do speech recognition, which is what I am doing on a small endpoint detection procedures, there is also a tool kits

This PDF gives the IVR router configuration details

这里有fft,ifft,conj,xcorr,resample的用法。-Here are fft, ifft, conj, xcorr, resample usage.

lpc10-15为美军2400bps语音压缩标准的C语音源代码。-lpc10-15 for the U.S. 2400 voice compression standard C source code voice.