SUN G.721 sourcecode

一个简单的基于微软语音开发包设计的语音识别程序，有注释-A simple voice-based Microsoft development kit designed for speech recognition procedures have Notes

语音信号短时能量matlab实现,语音信号的端点检测matlab实现。-Speech signal to achieve short-term energy matlab, speech endpoint detection signal matlab implementation.

在孤立词语音识别中，最为简单有效的方法是采用DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法，用于孤立词识别。

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.

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

能有效的去除纯净语音中加入的噪声，效果不错。-Can effectively remove the pure voice added to the noise, good results.

Microsoft Speech SDK提供关于语音（Speech）处理的一套应用程序编程接口SAPI（Speech Application Programming Interface）。SAPI提供了实现文字-语音转换（Text-to-Speech）和语音识别（Speech Recognition）程序的基本函数，大大简化了语音编程的难度，降低了语音编程的工作量。

cti编程的全面例子-CTI comprehensive programming examples

matlab的语音处理工作箱，包括分帧，参数计算等等各种功能-The matlab toolbox of speech processing,including enframe, parameter calculating and so on.

在线签名鉴定，用AR实现算法和DTW算法实现，还包括一个比较综合的实例，对此方面研究的朋友有用处-Online signature identification, use AR to achieve algorithm and DTW algorithm, but also a more comprehensive example of this research useful friends