bp原理的源程序，可以自由下载，不涉及版权。

生成《matlab扩展编程》中对于HMM训练的samples.mat程序，自己编写-Generation ‘matlab programming expansion’ in the HMM training samples.mat procedures, written by myself

提供rls的matlab实现，用RLS算法设计一个数字滤波器，实现语音增强的目标，得到清晰的语音信号-Provide rls realize the matlab using RLS algorithm to design a digital filter to achieve the goal of speech enhancement have been given clear voice signal

Water s Level Measuring System with Serial Communication. -Water s Level Measuring System with Serial Communication.

将文本按照标点符号分开的程序源码,可以把分开后的源码分开保存到文本文件中.为方便语音识别软件的制作而开发.-punctuation separate proceedings source, can be separated from the source to maintain separate text file. For the convenience of voice recognition software production and development.

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。自适应滤波算法在统计信号处理的许多应用中都是非常重要的。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。自适应滤波算法在统计信号处理的许多应用中都是非常重要的。

关于SDK的语音识别和语音结合 的代码-On the SDK Speech Recognition and voice combined with the code

数字音频格式有很多种，其质量与采样频率和采样精度两个参数有关。频率的表示单位为赫兹〔Hz〕，它表示每秒采样次数。采样频率越高，音质就越好。采样精度为每次采样所存储的数据数量，它决定每个数字信号所能够表示的离散振幅的数量。存储每个样本的数据越多，音质就越好。但是高品质的声音需要占用大量的内存和磁盘空间。考虑到网络带宽，在Internet连接上传输就需要花费很长的时间。对于Applet来说，保证声音文件的最小化是极为重要的。-digital audio format there are many, the quality and frequency of sampling and sampling accuracy of the two parameters. The frequency of Hertz unit of [Hz], it said the number of samples per second. The higher sampling frequency, the sound quality better. For each sampling precision sampling by the amount of data storage, it was decided that each digital signal can be expressed as the number of discrete amplitude. Each sample storage of more data, better sound quality. But high-quality voice would take a lot of memory and disk space. Consideration of the network bandwidth, the transmission on the Internet connection on the need to spend a very long time. Applet for instance, to ensure that voices of the smallest document is very important.

ETSI发布的用于研究分布式语音识别的前端降噪算法-ETSI issued for the study of Distributed Speech Recognition front Noise Reduction Algorithm

用delphi制作的动画精灵，是初学者的选择！-Delphi animation produced by the wizard, is the choice for beginners!

介绍基于SVM模型的语音识别方法的处理与研究，通过把SVM 与DCT相结合来进行语音的识别。-Introduced the SVM model based on speech recognition method of treatment and research, through the combination of SVM with the DCT for speech recognition.