此方案基于全极点语音产生模型，编码过程简述如下：首先通过线性预测分析方法提取声道滤波器参数；其次通过合成分析法确定最佳激励矢量；最后将滤波器参数和最佳激励矢量进...

c#开发的局域网语音通讯 包含客户端和服务器端-c# development of the LAN voice communications and includes client server

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.

bp原理的源程序，可以自由下载，不涉及版权。-bp of the source principle, be free to download, do not involve copyright.

LPC speech compression-LPC speech compression...

介绍基于SVM模型的语音识别方法的处理与研究，通过把SVM 与DCT相结合来进行语音的识别。-Introduced the SVM model based on speech recognition method of treatment and research, through the combination of SVM with the DCT for speech recognition.

实现 直接2型滤波器的设计 以及 仿真 功能-direct two-filter design and simulation function

语音语谱图分析程序,提供了数字样本数据,值得参考.matlab程序.-language voice spectrum analysis procedures, and providing a digital sample data, a good reference. Matlab procedures.

本文件包含几个进行语音端点检测的小程序。运行时直接复制到matlab的m文件即可。经本人调试正确无误。-This document contains some of the voice activity detection applet. Directly copied to the run-time of the m file to matlab. After I debug correct.

语音开发中的重要算法，尤其是在voip中广泛使用。该算法简单明了。-voice to the important development of algorithms, especially in the widely used voip. The algorithm is simple and clear.

基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the ability to learn fast, easy online updates, and with the Bayesian statistical theory based on estimates, and has become a solution as speaker recognition, text recognition, medical image recognition, satellite images and other real recognition when difficulties classification of very effective tool. But GMM PNN is not only the most advantages, but also has many advantages GMM not as strong robustness, require less training corpus, and other networks to other theories, such as seamless integration.