FastICA算法的语音信号分离。一种典型的时间算法…

英文数字从1到10，希望做语音识别用得上-English figures from one to ten, they hope to do useful Speech Recognition

说话人识别或语音识别是认识到人们从他们的声音的任务。这种系统提取语音特征，它们建模和使用它们来认出的人从他的声音。说话人识别有历史约会回一些四个几十年来，几个模拟滤波器的输出在哪里上匹配的时间的平均值。说话人识别使用已发现不同个体之间的语音声学特征。这些声音的模式反映这两个解剖 （例如，大小和形状的喉咙和口腔） 和学到的行为模式 （例如，音调，演讲风格）。这个学习模式纳入语音模板 （后者称为"眼纹，声纹"）

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-

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)

计算声音信号的总声压级，1/3/倍频程声压级，总响度，特性响度，尖锐度-Calculation of the total sound pressure level of the voice signal, 1/3/octave sound pressure level, the total loudness, loudness characteristics, acute severe

拷贝文件的java源代码 -copy of java source code

更好的语音解释程序-voice better explain procedures

一个语音命令识别小软件的源码。另需语音识别引擎的支持-a small voice command recognition software source code. Takes another speech recognition engine support

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.

语音识别中提取特征向量和进行特征向量比对的DTW源代码-Speech Recognition feature extraction and feature vectors to the right than the source code DTW