基音检测

这是解决约瑟夫圜的程序. 注释:这是本人自己编写的.不足之处请各位大哥大姐多多指教,另外请注意版权问题.-Joseph won the procedures. Note : This is my own prepared. Deficiencies Department asked Big Brother Big Sister to the exhibitions, and to copyright issues.

这个函数也要被melcepst函数调用，用来进行计算Mel倒谱系数。这个函数的作用是构造mel滤波器组。-This function must be melcepst function call is used to calculate Mel cepstral coefficients. The role of this function is to construct a mel filter bank.

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.

利用的是c++语音编写的语音情感识别的代码，样本为提取的特征文件，一个样本具有39个特征，还有类别文件用数字表示，利用了SVM的好多类型，采用了核函数的很多类型，调试成功即可用，只是识别率略低25%，只是作为参考，大家可以自己改进。其实是从别的地方下载的，感谢作者！

为微软SAPI(Text-to-Speech API)封装的类- Kind (Text-to-Speech API) seals which for Microsoft SAPI

语音文件加窗后比较去零的范围，以及它们的比较图。-After the voice file comparison window to increase the scope of zero, and their comparison.

中文语音朗读的程序-voice reading aloud procedures

AMR-WB声码器VAD（语音活动检测）程序。测试使用8kHz采样率和16位wav量化文件。

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.

本文件包含几个进行语音端点检测的小程序。运行时直接复制到matlab的m文件即可。经本人调试正确无误。-This document contains some of the voice activity detection applet. Directly copied to the run-time of the m file to matlab. After I debug correct.