matlab linear cepstral coefficients for speech recognition

vb下语音合成原代码，选择一篇txt的文档，然后可以朗读出来，可选择男声女声，音量等。-sound syntonizing source code using vb. please select a document with txt ,then read it aloud,the male and female voice are optional on the program

基于概率神经网络方法的识别程序,主要针对语音识别,matlab程序,值得参考.-probabilistic neural network-based method of identification procedures, voice recognition, Matlab procedures, a good reference.

DSK5402的bootloader程序.本人调试过,绝对正确-DSK5402 the bootloader program. I debug, and absolutely correct

语音信号处理工具包，是日本的一个大学开发的，对于HMM模型的建立很有帮助。-A tool box of speech processing, exploited by a Japanese university. It s quite helpful for setting up a HMM model.

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.

自适应量化。读取wav文件，使用2到12比特量化。抽样频率8khz-Adaptive quantization. Read wav files, using 2-12 bit quantify. Sampling frequency of 8kHz

语音信号处理中基音周期提取算法。运用传统的自相关方法。并加入了三电平削波的处理。-Speech Signal Processing pitch extraction algorithm. Using the traditional autocorrelation method. And joined the three-level clipping processing.

使用MATLAB编写的nlms滤波器程序代码！-Prepared using the MATLAB program code nlms filter!

txt2wav.rar文本语音（Text-to-Speech，以下简称TTS），它的作用就是把通过TTS引擎把文本转化为语音输出。代码示范了如何运用Microsoft Speech SDK 建立自己的文本语音转换应用程序。应该事先下载微软的语音SDK里面含微软的语音开发工具原来是sapi5.1现在好像升级了微软的MSDN上有下-txt2wav.rar text pronunciation (Text-to-Speech, hereafter refers to as TTS), its function is transforms through the TTS engine the text as the pronunciation output. How did the code demonstrate has established own using Microsoft Speech SDK text pronunciation transformation application procedure. Should beforehand download Microsoft inside pronunciation SDK to contain Microsoft the pronunciation development kit originally is sapi5.1 now looks like promotes on Microsoft s MSDN to have next

计算声音信号的短时能量，过零率，然后检测语音的端点-Short-term calculation of the voice signal energy, zero-crossing rate, and then voice endpoint detection