Bark和ERB滤波器组实现的Matlab源程序

一个语音控制系统的源代码，需要调用matalab库-A voice control system source code, need to call the Treasury matalab

Speech Quantization_Compare SNRs of speech cs5 with mu-law companding and uniform quantization -Speech Quantization_Compare remnants of spee ch cs5 with mu-law companding and uniform quant ization

语音识别系统：根据采集的语音进行文字的输出！-Speech Recognition System: Based on collected voice to text output!

学习聊天的好程序，VC++编写的，对大家应该有帮助的，-Learn good chat program, VC++, prepared to assist the U.S. should have,

语音识别知识讲稿，了解语音识别基本知识和基本方法的捷径-Speech Recognition knowledge speech, speech recognition to understand the basic knowledge and basic methods of shortcuts

MATLAB波形工具箱。将工具箱文件夹添加到命令窗口中的MATLAB路径类型main

语音识别，跳用JAVA里写的类，a simple test project-voice recognition, dancing with Java, written category, a simple test project

自适应量化。读取wav文件，使用2到12比特量化。抽样频率8khz-Adaptive quantization. Read wav files, using 2-12 bit quantify. Sampling frequency of 8kHz

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.

人类精神智慧的精华，在你绝望的时候，在你懈怠的时候，给予你强大的力量-The essence of the wisdom of the human spirit, in your time of despair, before you slack time give you powerful