凌阳语音压缩算法的比较详细的解释。语音识别…

tftb,一个信号时频分析文件包，matlab源码，在语音信号学习中可以运用此包来快速理解语音信号的特点。-tftb, a signal time-frequency analysis package, matlab source, in the speech signal can be used to learn in this package to quickly understand the characteristics of speech signal.

主流音频编解码标准ITU： G.711、G.729等

这是一个公式编辑器，编写一个微型非所见即所得公式编辑器，对于输入的源代码进行分析，判断语法是否正确，如果正确则输出对应的公式。 -This is a formula editor, the preparation of a miniature non-WYSIWYG formula editor, enter the source code for an analysis to determine whether the grammar is correct, if the correct output corresponding to the formula.

opnet下802.15.4的仿真模块，用于对zigbee进行研究和分析-under 802.15.4 OPNET Simulation module, used to carry out research and analysis zigbee

matlab关于语音信号滤波处理的文章，通过matlab实现-matlab on the voice signal filtering deal with the article, through matlab to achieve

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

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.

关于隐马尔可夫模型hmm的一个源代码 c语言编写 希望对大家有帮助-Hmm on the Hidden Markov Model of a source code language c everyone would like to have help

文件为美军4800bps语音压缩编码标准在TI的DSP芯片TMS320C5X上的实时实现源代码。-document for the U.S. 4800 voice coding standards on TI"s DSP chips cntroller 5X Real-time implementation of the source code.

语音识别专辑一- Speech recognition special edition one