在这几十年里，数字信号处理技术取得了飞速发展，特别是字适应信号处理技术以其计算简单、收敛速度快等许多优点而广泛被使用。它通过起内部参数的最优化来自动改变其特性。...

给信号加入噪声时，信噪比的控制小程序，基于matlab。-to signal to noise, the signal-to-noise ratio of the control of small procedures, based on Matlab.

高质量的语音处理工具箱，包括分帧，预处理，求基频等-high-quality voice processing toolkit, including the frame, pretreatment, such as for frequency

matlab语音工具箱-voice Matlab Toolbox

文本语音转换示范代码-Text-to-Speech Model code

C54X语音压缩编码，采用ADPCM算法，- C54x speech compress codec,based on ADPCM algorithm.

实现了语音回放功能，很不错的-Realized the voice playback, it is good

delphi写的英文阅读器-English reader written in delphi

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.

其中大部分采用voicebox库中的函数，需要把voicebox添加到路径中。 模板在测试程序中共有5个，通过i进行设定，命名原则：数字a，如1a 被测试对象一个，命名原则：数字b，如1b 测试程序为dtwTest 其他的都是一些函数原型，包括 dtw MFCC enframe vad

基于微软sapi的语音识别程序-based on the Microsoft Speech Recognition Program