vorbis开发包及源码

语音合成实例利用SAPI SDK，可以朗读文章，让文字变成声音-examples of the use of speech synthesis SAPI SDK can read the article, the words into voice

语音识别基本原理 自己收集的电子书 关于语音识别的 -voice recognition basic tenets of his collection of electronic books on Speech Recognition

通过采用MATLAB中的MEX程序进行实时语音端点检测-The application of MEX in MATLAB on the realtime speech endpoint detection.

我的语音直接波形矢量量化器,一个简单的例子.没有考虑有噪信道下的VQ-er设计-my voice waveform vector quantization directly with a simple example. Noise is not considered under the Channel VQ-er design

语音识别方面的资料，大部分是引文资料非常有用-Speech recognition information, most of the information is very useful for quotation

达芬奇DM6446平台音频、视频，语音压缩编解码处理演示程序。-DaVinci DM6446 platform audio, video, voice compression codec processing demo.

这个关于语音识别的文章，介绍了HMM模型的参数优化的 问题，以及HMM模型的孤立字识别中的应用。-This article on speech recognition, introduced the HMM model parameter optimization, as well as isolated word HMM model to identify the application.

用于语音识别的离散隐马尔可夫模型程序（非特定人，多个观测序列），已调试通过。-used discrete speech recognition Hidden Markov Model (non-specific, a number of observation sequence), has been through testing.

ITU-T G.723语音压缩编解码算法源码和测试语音，内有标准附件和使用说明。-ITU-T G.723 voice compression codec algorithm source code and test voice, within the standard accessories and use.

:高斯混合模型(GMM)是一种经典的说话人识别算法，本文在实现其算法的同时，主要模拟了不同噪声环境情况下高斯混合模型 (GMM)的杭嗓声性能，得到了一些有益结论。 -Gaussian mixture model (GMM) is a classic speaker recognition algorithms, this algorithm at the same time in fulfilling its main simulated environmental conditions under different noise Gaussian mixture model (GMM) of the Hang throat sound performance, and obtained some useful conclusions.