传统谱减与MCRA语音增强算法

Matlab code for CELP

语音通信控件源码点对点专用版简介VSession语音通信控件源码点对点专用版，版本2.0，此版本集成了G729A压缩算法，实时传输协议，话音清晰流畅！使用简单易懂方便！此控件源码是在本人以前发布的控件件源码VSessionn2.0版本的基础上，加入点对点通信时的呼叫，应答，挂断等通话前后的同步功能，使其用于点对点通信更加方便！如果您想要在程序源码中自定义点对点间的通话联系方式，或者有一对多，多对多的 (Voice communications control source peer-to-peer special edition Introduction VSession voice communication control source peer-to-peer special edition, version 2.0, this version integration the G729A compression algorithm, Real-time Transport Protocol, clear and smooth voice! Easy to understand and easy to use! This control source is in the I control previously released the parts source VSessionn2.0 version based on peer-to-peer communication call, answer, hang up, etc. the synchronization function before and after the call to make it more convenient for point-to-point communication ! If you want to program source from the definition of point-to-point calls between Contact, or one-to-many, many-to-many)

本系统是基于矢量量化技术的说话人识别系统。可根据语音库以及实时录音识别且具有图形用户界面。压缩包内含有源码、语音信息库音频及演示视频等。(The system is based on vector quantization speaker recognition system. Identifiable and has a graphical user interface based on speech and real-time recording. Within the compressed package contains the source code, voice information and presentation of audio and video.)

Speaker Identification using MFCC feature and VQ training, very clear MATLAB code

这是我的毕业设计的完整程序，非常有参考价值，包括数据，预处理，训练，识别，包括眼马尔科夫模型和神级网络，马上毕业了，传上做个纪念(This is my graduation project of the complete program is very valuable, including data, preprocessing, training, recognition, including the eye-level Markov model and the God of the network, once graduated, to be a memorial mass on )

这是一个在线签名的程序，使用了AR实现算法和DTW算法(This is an online signature process, using the AR algorithm and DTW algorithm)

SVM分类器，针对语音信号的分类识别应用。内容非常多，大家可以筛选着利用。(SVMclassification)

这是我写的用c语言实现LBG算法的一个程序。LBG算法是语音信号处理中一种矢量量化的方法。我的邮箱：wleechina@163.com(This is what I wrote with C Language LBG algorithm a procedure. LBG is the voice signal processing a vector quantization method. My mail : wleechina@163.com)

语音信号时频分析，包括语谱图，过零率，自编的自相关，以及最后用了三种方法（短时能量和过零率、谱熵法、Teager算子）进行端点检测，代码完整且测试通过(time and frequency domain analysis of speech signals,including spectrogram,rate of zerocrossing,autocorrelation.and three method of endpoint detection,especially the Teager )

C语言fft和ifdct的函数，可以直接使用(C language functions fft and ifdct can be directly used)