Sint 时钟

FreeTTS（地三部分）-FreeTTS Part three

《FUNDAMENTALS OF SPEECH RECOGNITION（语音识别基本原理）》（英文），大家可以好好学习下-"FUNDAMENTALS OF SPEECH RECOGNITION (voice consensus other basic tenets) "(English), you can learn where

自已编写的语音信号端点检测程序，采用短时能量与短时过零率的方法。-authorship of the speech signal endpoint detection procedures, using short-term over short-term energy and the rate of zero.

给无头的语音文件添加头，可以自己定义，添加的市标准的RIFF格式的头-without a head to the paper added voice, who can own definition, add to the city"s standards for the first RIFF format

加入短时能零积端点检测技术的幅值谱减法，噪声谱的估计根据端点检测的结果进行加权平均，时时更新，更好的去除噪音，并将去噪后的结果写成wav文件-Adding short-term endpoint detection can be zero plot of the amplitude of spectral subtraction techniques, the estimated noise spectrum endpoint detection in accordance with the results of the weighted average, up-to-date, better to remove noise, and after the results of denoising wav file

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.

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)

基于CHMM模型的语音识别系统，能很好的实现汉语语音识别功能。

2400bps MELP语音编解码源程序。-2400 MELP voice codec source.

这是城市坐标的程序. 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.-This the city coordinates procedures. Note : This is my own prepared. Deficiencies Department asked Big Brother Big Sister to the exhibitions, and to copyright issues.