lbg

Matlab code for CELP

采样小波包分解语音信号，分解为3层，并求出分解系数(Speech signal using wavelet packet decomposition，decomposing 6 level，and attain decomposition coefficient)

lms alghoiritm method adaptive system

gmm模型下的语音情感识别系统，GMM只是一个数学模型，只是对数据形态的拟和，但是和你所看到的数据分布存在出入也是正常的，因为用EM估计GMM的那些参数时，一般假设我们所得到的数据是不完备的（也就是说假设我们看到的数据分布不是真正的分布，它在运算时把那部分丢失或者叫隐藏的数据“补”上了）(gmm model speech emotion recognition system, GMM is a mathematical model, but fitting the data form, but you can see there is access to the data distribution is normal, because those with the EM estimated GMM parameters, the general assumption we get the data is incomplete (that is, assuming we see the distribution of the data distribution is not real, it is part of the operation at the time that is lost or hidden data is called " fill" on the))

产生双音多频信号。输入任何参数就可得到所要的结果。(Generate DTMF signal. Input any parameters, you will get what you need.)

这里面的代码是2DPCA的。这篇文章发表在PAMI上,Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition.google搜索已经引用681次。这里的代码是原作者的。这个分类不太好，语音识别是最近的，这是模式识别里的经典算法。(matlab code of 2DPCA)

extract features by MFCC method using Matlab language

C#版语音识别系统，精准度超强，到得收藏(C# version of the speech recognition system, super accuracy to Favorites)

　介绍了一种针对语音增值服务开发的智能语音终端,该终端以EM78806A单片机为核心研发,借助公共电话网络,实 现了电话与局端语音信箱中心的通信与智能化控制。文中主要对智能语音终端的硬件结构、工作原理及程序设计方法进行 了论述。(Introduce a value-added voice services for the development of intelligent voice terminal, the terminal to EM78806A Singlechip as the core research and development, through the public telephone network, the realization of a telephone central office voice mail with the Center for Communications and intelligent control. The main text of the intelligent voice terminal hardware structure, working principle and procedure of design methods are discussed.)

语音信号的时域、频域分析,包括短时能量分析、短时平均过零率、自相关函数、短时平均幅度差函数等。(Time-domain speech signal, frequency domain analysis, including short-term energy analysis, the average short-term zero-crossing rate, autocorrelation function, such as short-time average magnitude difference function.)