G.711 voice codec to achieve the CCS source code

语音识别技术是2000年至2010年间信息技术领域十大重要的科技发展技术之一 语音识别是一门交叉学科，语音识别正逐步成为信息技术中人机接口的关键技术，语音识别技术与语音合成技术结合使人们能够甩掉键盘，通过语音命令进行操作。语音技术的应用已经成为一个具有竞争性的新兴高技术产业。-voice recognition technology from 2000 to 2010 among the field of information technology in 10 major technologies voice recognition is one of an interdisciplinary, voice recognition is gradually becoming the information technology a key man-machine interface technology, voice recognition technology and voice synthesis technologies enable people to get rid keyboard, through voice commands to operate. The application of voice technology has become a competitive emerging high-tech industries.

语音处理算法中的cvsd算法在ccs环境下用汇编实现的测试向量代码-Voice processing algorithms in the CVSD algorithm in ccs environment with compilation of test vectors to achieve code

一个测试dtw算法的程序，A program test the dtw-an algorithm testing procedures, test the A program dtw

fft_cos_sin系数生成表，测试用，由他人提供的

DOS安装工具（支持图形，声音）-DOS installation tool (to support graphics, sound)

英文数字从1到10，希望做语音识别用得上-English figures from one to ten, they hope to do useful Speech Recognition

模式识别k-means法与k-l变换做的特征提取-K-means pattern recognition method and kl transform to do the feature extraction

基于最大信噪比的语音分离程序，有需要的朋友可以借鉴-Based on the maximum signal to noise ratio of the speech separation process, there is a need of a friend can learn from

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.

I:CSDN技术中心进程管理——例如SDK