G.729 coding process development tools VC

编译时需要intel C++编译器支持,程序主要功能显示语音波形,画出窄带语谱图,以及语音基频变化曲线-need intel compiler C compiler support, principally voice waveform display function, he painted the phrase narrowband spectrum, and the voice-frequency curve

Epos, a freely distributable language independent Text-to-Speech system.

8kHz采样语音的基音检测程序，VC6.0环境下运行，附有matlab画图程序-8kHz sampling voice pitch detection procedures, VC6.0 environment running matlab with Paint program

EVC平台下的录音程序。配置好麦克，即可进行录音。程序运行过程中会弹出多个对话框，用于说明程序的运行情况。-EVC platform recording procedures. Mack good configuration can be tape recorded. Procedures, there would be a number of pop-up dialog box, used to illustrate the operation of the procedures.

voicebox语音处理matlab工具箱-Voicebox:the speech processing toolbox of matlab.

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.

隐马尔科夫工具开发包，用于语音信号的分析和识别。-Yinmarkerf development kit for the analysis and recognition of speech signal.

fastICA的matlab实现。快速独立成分分离算法，用于去除图像或声音之间的 相关性。-The FastICA matlab realize. Fast independent component separation algorithm for the removal of images or sound correlation between.

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"）

ITU-T G.729A标准源代码解码端，已创建工程文件，方便初学者，已测试，运行良好-ITU-T G.729A standard decoder source code, project files have been created for beginners, have been tested, well-functioning