HMM 自学教程.适用于初学者进行阅读和学习。简易资料。

基于WINDOWS的SVM的开发工具，特别适合初学者，不需要太了解SVM原理-SVM based on the Windows development tool, especially for beginners, SVM not understand much about Principle

在做和语音信号处理相关的项目时要用到的语音工具箱,比如语音识别,说话人识别等,里面有一些已经封装好的小函数,可供大家编程序的时候直接调用-In speech signal processing to do and projects related to voice use toolbox, such as speech recognition, speaker recognition, etc., there are some good small function package for everyone when programmed direct call

语音识别在遥控系统中的应用设计介绍一种适合家电遥控器应用的语音识别算法，该算法使用双模块和两级端点检测方法，能有效地提高识别和稳健性；介绍利用该技术实现的一种新型学习型遥控器，展现了语音识别技术在家电领域的广阔前景-voice recognition in the remote control system of Design for a remote appliance application of speech recognition algorithm, The algorithm uses two double module and endpoint detection methods that can effectively improve recognition and stability; introduced use of the technology, a new learning remote control, displaying the voice recognition technology in the field of home appliances broad prospects

matlab的语音处理工作箱，包括分帧，参数计算等等各种功能-The matlab toolbox of speech processing,including enframe, parameter calculating and so on.

简洁适用的基音周期提取程序,采用自相关和平均幅度差函数相结合的方法-Simple application of the pitch period extraction procedures, the use of auto-correlation and the average magnitude difference function method of combining

语音识别源代码，可以对固定的某些语音实行识别，对于开发语音识别的朋友，具有很好的参考用途-Speech recognition source code, can be fixed to implement some voice recognition, speech recognition for the development of friends, an excellent reference

AppWizard has created this SRTest application for you.  This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your SRTest application. SRTest.dsp     This file (the project file) contains information at the project level and     is used to build a single project or subproject. Other users can share the

LMS 算法源程序，绘制性能曲线图，误差性能曲线-LMS algorithm source code, rendering the performance curves, the error performance curve

lpc协方差 lpc协方差 lpc协方差 lpc协方差-Covariance LPC LPC LPC Covariance Covariance Covariance LPC LPC LPC Covariance Covariance Covariance LPC

极小边际熵等价于叉四阶累积量的平方和最小。通过迭代使四阶累积矩阵对角化，实现交叉四阶累积量的平方和的极小化。他是语音识别的重要预处理算法-minimum entropy equivalent to the marginal four bands fork cumulative amount of square and smallest. Through iterative four bands so that the cumulative matrix diagonalization, four bands to achieve cross-cumulative amount of square and the minimization. He is an important voice recognition algorithm pretreatment