一个用matlab实现的mp3解码源程序，对进行mp3开发的初学者非常有用...

可并联的副边同步整流驱动器和反馈发生器控制-Vice-edge can be parallel synchronous rectification and feedback generator drive control

计算声音信号的短时能量，过零率，然后检测语音的端点-Short-term calculation of the voice signal energy, zero-crossing rate, and then voice endpoint detection

我是做语音识别的，这是我做的一个关于端点检测的小程序，里面还有一个工具包-I have to do speech recognition, which is what I am doing on a small endpoint detection procedures, there is also a tool kits

EVR浮点数算法，EVRC算法标准程序，是学习语音编解码的好东西-EVR floating-point algorithm, EVRC algorithm standard procedure is to study voice codec of the good things

this file contain m file which implement Dynamic Time warpping

语音识别:语音矢量化及算法及与原文件的矢量对比功能源代码-Speech Recognition : Speech vector algorithm and the original document and the contrast vector function source code

英国爱丁堡大学的语音处理系统，可以找到大部分语音处理/识别/合成所需要的算法-University of Edinburgh voice processing system that can find most of voice processing/recognition/synthesis algorithms needed

一篇关语音压缩编码的DSP实现的论文 NH文件-a customs voice coding DSP paper documents NH

利用的是c++语音编写的语音情感识别的代码，样本为提取的特征文件，一个样本具有39个特征，还有类别文件用数字表示，利用了SVM的好多类型，采用了核函数的很多类型，调试成功即可用，只是识别率略低25%，只是作为参考，大家可以自己改进。其实是从别的地方下载的，感谢作者！

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.