g.729的实现，应用于ip电话通信等很多需要语音压缩的地方，是国际电信联盟itu应用最广泛的一种标准之一...

语音端点检测，是语音压缩时提取特征参数的一个必要的过程，这个程序主要是对这个过程的一个小的程序。希望对学语音的有帮助-Extreme point detecting is a primily process to get the eigenparameter when you compressing the speech.This program is a small one,it will help for the learner.

adpcm压缩算法演示程序,adpcm压缩算法演示程序.-adpcm compression algorithm Demonstration Program, adpcm compression algorithm Demonstration Program.

用Ｅｃｌｉｐｓｅ开发的ＭＩＳ系统。这个系统采用Ｈｉｂｅｒｎａｔｅ作为数据持久层，采用Ｓｔｒｕｔｓ模式开发，希望对中间件感兴趣的朋友跟我讨论-use Eclipse development of the MIS system. The system uses Hibernate as a data persistence layer, using Struts model development, Middleware hope to interested friends talked to me

自适应线性预测器，采用FIR滤波器实现。-adaptive linear predictor, the use of FIR filters achieve.

采用G.729的语言实时通信DLL(含测试源代码)-G.729 language used real-time communications DLL (including test source code)

说话人识别或语音识别是认识到人们从他们的声音的任务。这种系统提取语音特征，它们建模和使用它们来认出的人从他的声音。说话人识别有历史约会回一些四个几十年来，几个模拟滤波器的输出在哪里上匹配的时间的平均值。说话人识别使用已发现不同个体之间的语音声学特征。这些声音的模式反映这两个解剖 （例如，大小和形状的喉咙和口腔） 和学到的行为模式 （例如，音调，演讲风格）。这个学习模式纳入语音模板 （后者称为"眼纹，声纹"）

录音部分是参照vckbase的录音api代码,结合了一小段socket(TCP)就可以用来单方说话录音了,程序分两部分一部分是(录音机+网络发送代码),一部分是(接收数据+播放波形音乐代码),由于程序只是为了自己用,很多地方没有注意错误的识别,结构也比较乱,本程序当初最头疼的就是控制损耗内存,结果用了双缓存来存储波形数据来交替的存储/清除. -part of the recording light vckbase recording api code combination of a small socket (TCP) can be used for recording a unilateral words, part of the procedure is divided into two parts (recorders network code), part of the (receiving data waveform music broadcast code), as a result of procedures only for their own use. many places no attention to the wrong identification, the structure was chaotic, most of the first procedure is a headache for the control of memory loss, Results of the double-caching to store waveform data to the turn of the storage/removals.

本程序实现用谱减法消除语音中的噪声，其中语音是纯净的，噪声是后加上去的，滤除效果良好-This procedure using spectral subtraction to eliminate the noise in the voice, which voice is pure, after noise is added, and filter out the effect of good

简单的基于门限值的语音端点检测。先将数字化的语音信号封装成帧，利用最大的帧幅值乘以一个比例因子得到门限值-Simple threshold-based voice end point detection. First，framing the digital voice signal , then using the maximum amplitude to multiply a frame scale factor to get threshold

语音识别的经典文献，学习语音识别的朋友抓紧了！-Speech Recognition classic literature, studying voice recognition by grasping a friend!