计算声音信号的短时能量，过零率，然后检测语音的端点

EVR浮点数算法，EVRC算法标准程序，是学习语音编解码的好东西-EVR floating-point algorithm, EVRC algorithm standard procedure is to study voice codec of the good things

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

一个为Internet应用程序提供的开放源码的16 kbps语音/乐音压缩程序-an Internet application for the open source 16 kbps voice/music compression process

语音识别与合成入门2，word或压缩包中内有matlab源码-speech recognition and synthesis 2 entry, word or compressed packages within Matlab FOSS

匈牙利算法的实现，比较简单，本人自己写，望大家赐教-Hungarian algorithm is simpler, I wrote it myself, hope everybody with us

对HMM基础知识的了解很有帮助，有发展历史，应用等-The basis of HMM knowledge helpful, there are the history of the development, application, etc.

dtw的matlab程序的实现，已经编译通过的。-dtw the realization of Matlab procedures already adopted by the compiler.

基于microsoft speech sdk的语音识别代码程序-Microsoft speech sdk-based speech recognition procedures code

ITU-T G.729 Source code ITU-T G.729 Annex B ANSI-C Source Code