本书给出80个语音处理习题和4个语音处理程序，对相关人员有很大价值

语音识别中的窄带信号提取函数，matlab版-Speech Recognition narrowband signal extraction function, Matlab version

语音识别专辑三- Speech recognition special edition three

vorbis开发包及源码-vorbis development kits and source

61板实验指导书，对语音识别比较有用。适合初学者-Experimental guide plate 61 books, more useful for speech recognition. Suitable for beginners

lpc10语音压缩算法源码，应用于voip系统-Source code of lpc10 speech compress algorithm,used in voip system.

解除tcp筛选的的算法和软件实现，用vc编写，请大家下载-lifting tcp screening algorithms and software used to prepare vc, please download

本源码为语音识别中lpcc（线性预测倒谱系数）的计算方法。经试验，可用。为方便大家理解，关键语句和函数后面都加上了注释。-The source code for speech recognition in lpcc (Linear Prediction Cepstrum Coefficient) is calculated. After testing, can be used. To facilitate the understanding of everyone, the key behind the statements and functions are added to the Notes.

转换音频Wav到PCM PCM -> G723 G729 Gsm iLBC G723 G729 Gsm iLBC -> PCM 需要p_voice库支持-Audio Conversion Wav to PCMPCM-

一篇关于LMS和RLS算法应用于噪声抵消的matalb仿真论文，值得一看。-An article on the LMS and RLS algorithm is applied to noise cancellation of matalb simulation papers, worth a visit.

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.