语音识别中关于矢量量化方面的论文资料:)

一个语音开发包动态连接库，很容易使用。- A pronunciation development package dynamic connection storehouse, is very easy to use.

介绍汉语连续语音识别中声母与韵母的建模，然后用分类聚类的方法进行汉语连续语音的识别。-Introduction of Chinese Continuous Speech Recognition of consonant and vowel modeling, and then use the classification of clustering methods for Chinese continuous speech recognition.

HTK_basic_tutorial，剑桥大学语音识别工具包HTK的说明文档。PDF格式，有对HTK的简要介绍。-HTK_basic_tutorial, Cambridge University HTK Speech Recognition Toolkit documentation. PDF format, has a brief introduction to the HTK.

非常好的音频频谱分析工具，并能够可视化显示。共有EQ Mode/spectrum/pick等六种显示模式。

该程序是非特定人语音识别程序，原来在SPCE500A下运行，能识别并应答16个命令，存储空间为128K字节。-the procedures were non-specific voice recognition procedure, in SPCE500A original run, Recognition and Response to 16 orders, storage space for 128K bytes.

端点检测程序 多频带，熵 谱熵 teger能量 希望大家好好学习好好利用-endpoint detection procedures multiband, entropy spectral entropy teger energy hope that we learn to make good use

模拟语音信号的动态范围解压缩算法的matlab源码-Analog voice signal dynamic range compression algorithm solution matlab source

基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the ability to learn fast, easy online updates, and with the Bayesian statistical theory based on estimates, and has become a solution as speaker recognition, text recognition, medical image recognition, satellite images and other real recognition when difficulties classification of very effective tool. But GMM PNN is not only the most advantages, but also has many advantages GMM not as strong robustness, require less training corpus, and other networks to other theories, such as seamless integration.

很好的语音识别程序！可能对有些人有用！-excellent source for speech recognition.It can be helpful for somebody

本代码为基于windows的语音识别系统的源码。-code for the Windows-based voice recognition system source code.