an algorithm testing procedures, test the A program dtw

语音处理工具箱，复制到matlab工具箱中。

湘潭大学学生写的语音朗读程序TTS- The xiangtan university student writes the pronunciation reads aloud procedure TTS

HTK_basic_tutorial，剑桥大学语音识别工具包HTK的说明文档。PDF格式，有对HTK的简要介绍。-HTK_basic_tutorial, Cambridge University HTK Speech Recognition Toolkit documentation. PDF format, has a brief introduction to the HTK.

一个Nuance asr基于audio providor模式的语音识别的例子-asr a Nuance-based audio providor of Speech Recognition model example

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

用于语音识别的离散隐马尔可夫模型程序（非特定人，多个观测序列），已调试通过。-used discrete speech recognition Hidden Markov Model (non-specific, a number of observation sequence), has been through testing.

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.

SVM分类器，针对语音信号的分类识别应用。内容非常多，大家可以筛选着利用。-SVMclassification

delphi写的语音报时器-voice timer written in delphi

语音识别与合成系统. 里面有详细的介绍与程序-Speech Recognition and Synthesis System. There are a detailed introduction and procedures