LZW compression decompression integrity procedures, rare, and even input and out...

不定长信号合并，％执行信号相加： y(n) = x1(n)+x2(n) ％调用方式：[y,n] = sigadd(x1,n1,x2,n2) ％ y：叠加后的信号序列的序列号，包括n1和n2 ％ x1： 第一个信号序列，序列号为n1 ％ x2：第二个信号序列，序列号为n2(n2可以与n1不同)-Indefinite long-Signal merger, add up to the implementation of signal: y (n) = x1 (n)+ X2 (n) call the way: [y, n] = sigadd (x1, n1, x2, n2) y: Superposition signal sequence after the serial number, including the n1 and n2 x1: the first signal sequence, the serial number for n1 x2: the second signal sequence, the serial number for n2 (n2 with n1 different)

键盘4*4距阵，要用的赶紧来下啊！这可是好东东啊-4* 4 matrix keyboard, we should hurry to the next ah! This is a good东东啊

xvoice:linux的语音识别源码-xvoice : linux source of Speech Recognition

dtw － DTW算法演示程序 mfcc.m － MFCC参数计算程序 dtw.m － 基本的DTW算法 dtw2.m － 优化的DTW算法 testdtw.m － DTW算法测试程序 vad.m － 端点检测程序 cdhmm － 连续高斯混合HMM演示程序 pdf.m － 高斯概率密度函数 mixture.m － 混合高斯的输出概率 inithmm.m － HMM参数初始化 getparam.m － 计算观察序列的参数 viterbi.m － 语音识别的Viterbi算法 baum.m － Baum-Welch训练算法（一次叠代） main.m － 多HMM训练主程序&n

此程序提供一个类来计算快速傅里叶变换(FFT) 计算离散傅里叶变换(DFT) 和它的逆矩阵。

一个基于DTW的的孤立词的语音识别系统，采用率为800，可以识别六个字左右的短语，是特定人的识别系统。运行时请更改工作目录：工程->设置->调试->更改工作目录即可-The DTW-based isolated word speech recognition system, using rate of 800, can identify words around the phrase, a specific person

本程序的压缩编码是G.723的编解码程序，其的算法是基于ACELP的算法基础上的编码。用在语音通信中，例如手机中-the procedure coding is the G.723 codec procedure, the algorithm is based on ACELP algorithm based on the coding. Used in voice communications, such as mobile phones

The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation. It features a very low error rate and few tuning parameters. This implementation is a C++ template, with EMM support for faster processing. Developped in Visual C++ 6.0, but should compile with other compilers.-The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation. It features a very low error rate and few tuning parameters. This implementation is a C++ template, with EMM support for faster processing. Developped in Visual C++ 6.0, but should compile with other compilers.

C语言开发工具包 （包括制表键宽度的变化，图形图像的处理，字符串的处理等等）-C-language development tools (including tabulation bond width changes, graphic image processing, string handling, etc.)

Speech Quantization_Compare SNRs of speech cs5 with mu-law companding and uniform quantization -Speech Quantization_Compare remnants of spee ch cs5 with mu-law companding and uniform quant ization