为微软SAPI(Text

基于概率神经网络方法的识别程序,主要针对语音识别,matlab程序,值得参考.-probabilistic neural network-based method of identification procedures, voice recognition, Matlab procedures, a good reference.

ica 权威paris在很久以前写的ica算法程序，稍作修改可以用于声音信号识别。-Paris, one of the authorities of ICA, created the program at long time ago. It can be used to recognise speech signal if modify a little.

语音端点检测，是语音压缩时提取特征参数的一个必要的过程，这个程序主要是对这个过程的一个小的程序。希望对学语音的有帮助-Extreme point detecting is a primily process to get the eigenparameter when you compressing the speech.This program is a small one,it will help for the learner.

这是语音识别的几个程序，包括语音的特征提取、端点检测的程序。-This is the number of speech recognition procedures, including the voice feature extraction, endpoint detection procedure.

语音语谱图分析程序,提供了数字样本数据,值得参考.matlab程序.-language voice spectrum analysis procedures, and providing a digital sample data, a good reference. Matlab procedures.

经TLV320AIC23音频编解码器，一方面送入DSP存储器，另一方面方便用户实现录音和播音-By TLV320AIC23 audio codec, on the one hand into the DSP memory, on the other hand, realize user-friendly recording and broadcasting

G.723语音编码 The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the quantizer scale factor, y(k), is determined by "unlocked" factor yu(k) only. The factor yl(k) and speed-contral factor al(k) are ignored.-G.723 speech coding The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the Quantizer scale factor, y (k), is determined by "unlocked" factor yu (k) only. The factor yl (k) and speed-contral factor al (k) are ignored.

语音识别与合成入门5，word或压缩包中内有matlab源码-speech recognition and synthesis 5 entry, word or compressed packages within Matlab FOSS

FreeTTS（地三部分）-FreeTTS Part three

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)