在语音中提取基音频率的程序。输入为.wav格式的语音文件，输出各帧基音频率。...

本人做的语音交互处理系统，需要安装chant speechkit支持。觉得有参考价值，故发上来共享。-I do interactive voice processing system, installed 6/29/05 speechkit support. Feel the reference value, made it onto sharing.

本文将现实中采集到的一段语音加上了高斯白噪声，利用了LMS算法，将噪声滤除，仿真效果良好-This article will be collected in reality a section of voice coupled with a Gaussian white noise, using the LMS algorithm, the noise filtering, simulation results

这是一个关于JAVA数据库连接的源程序，通过以JAVA语言来实现。 -This is a JAVA database connectivity on the source, through the JAVA language to realize.

Voice_Band_Audio_Processor_Interface_source_code

语音识别经典工具HMM_HTK，是语音识别专业工作者的必备研究工具，当今世界上几乎所有的语音识别系统都是以此为基础建立的-classical voice recognition tools HMM_HTK, voice recognition is a prerequisite professionals research tools, in today"s world almost all the voice recognition systems are as a basis for the establishment of the

EVR浮点数算法，EVRC算法标准程序，是学习语音编解码的好东西-EVR floating-point algorithm, EVRC algorithm standard procedure is to study voice codec of the good things

在linux平台下,纯c写的盲信号分离的代码.它采用基于卷积混合的盲信号分离算法,不但可以分离人工合成的混合信号,而且对于真实环境中的卷积混合的语音信号也能够分离.在本程序中,包含了两个测试文件,makefile后便可以直接使用. 另外值得一提的是,压缩包里包含有一些语音处理方面的常用函数.例如fft变换,读取写入wav文件,以及一些常用的一维向量和二维矩阵变换的函数.这些可以直接应用在其他应用程序里去.-in linux platform, net write c Blind Signal Separation code. it is based on convolution of mixed Blind Signal Separation algorithm, not only can be separated from the artificial synthesis of mixed-signal, but for the real environment convolution of mixed voice signals can be separated. in this procedure, the tests included two documents, makefile can be used directly after. Also worth mentioning is that Compression bag containing some of voice processing functions commonly used. fft transform, for example, to read write wav file, and some of the commonly used one-dimensional and two-dimensional vector matrix transformation functions. these can be directly applied to other applications going.

本程序实现用谱减法消除语音中的噪声，其中语音是纯净的，噪声是后加上去的，滤除效果良好-This procedure using spectral subtraction to eliminate the noise in the voice, which voice is pure, after noise is added, and filter out the effect of good

摘要说话人识别在自动身份鉴别方面具有重要的现实意义。文章在分析了说话人识别实现的可行性基础上*提 出采用长时线性预测倒谱 +,--.,)系数和矢量量化 /0)模型的不依赖于文本的说话人识别方法，并成功地应用于 一个数据库查询系统中。-65DL5=?9?AD=7 D66@?AD7?8=H?=D 78:D7?A?=E?G?E D@=?7?8=D

A wonderful ica toollbox about blind source separation for the beginners