我新下载到的一个语音工具包，不知道大家看没看过，所以传上去跟大家共享一下...

语音识别与合成系统. 里面有详细的介绍与程序-Speech Recognition and Synthesis System. There are a detailed introduction and procedures

cdma2000 1x语音编解码程序，并带有测试用例，很好用-cdma2000 1x voice codec procedures and with test cases, very good use

Tixys source code, include G.711, G.726, IMA-ADPCM etc.

adpcm压缩算法，测试过，效果不错-Adpcm compressing algorithm. Has good behaviour through testing.

语音识别与合成系统. 里面有详细的介绍与程序-Speech Recognition and Synthesis System. There are a detailed introduction and procedures

语音信号的端点检测matlab程序，利用短时平均能量和短时平均过零率判断语音端点的起始。还有语音信号信噪比的计算程序。-Endpoint detection of speech signal matlab procedures, take advantage of short-time energy and short-time average zero-crossing rate of the average voice activity to determine the start. There are voice signal SNR calculation procedures.

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))

语音图像压缩dpcm编码源程序-voice Image Compression length coding source

完成基于MFCC的语音识别系统仿真，文件中带有完成语音识别训练的源文件-Completion of MFCC-based speech recognition system simulation, document the completion of speech recognition training with the source file

SimpleSpeech是一个使用HMM的自动语音识别系统。对象是研究的学生和对自动语音识别有兴趣的研究工作者。-SimpleSpeech HMM is a use of the Automated Voice Recognition System. The object is to study the students and Automatic Speech Recognition to interested researchers.