用标准C语言实现的基于DTW算法的特定人孤立词语音识别系统，能实现汉语数字0至9个语音发音的识别，具有很好的识别性能。...

语音识别系统：根据采集的语音进行文字的输出！-Speech Recognition System: Based on collected voice to text output!

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

通过ACTIVEX控件与MATLAB进行双向通信实现实时语音端点检测-through ACTIVEX control and MATLAB for two-way real-time voice communication endpoint detection

一个语音合成的Java小程序-a voice synthesis of Java programs

看的一篇参考文献上的S变换源程序，发上来给大家参考参考-See a reference to the literature of the S transform source code, hair up to your information

配合《Matlab之语音处理与合成工具箱》的源代码库，书很经典，是英文原版。-With

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.

一个VC实现的,用G.729a实现的语言对讲的例子-a VC, using G.729a achieve language Talkback example

dtw（动态时间规整）语音识别的matlab源码-dtw (Dynamic Time Warping) speech recognition matlab source code

简单的语音合成程序（text to speech）,从事此方面的，可以参考他的引擎-simple speech synthesis (text to speech), engaged in this aspect, he can refer to the engine