talkbox_1.1.1.tar

采用MFCC方法提取训练集样本或测试集样本语音特征参数的MATLAB程序，仿真时需先将voicebox语音处理工具箱添加到MATLAB软件中(The MFCC method is used to extract the MATLAB program of the training set sample or the test set sample speech feature parameters. The voicebox voice processing toolbox is added to the MATLAB software first.)

网页校验码识别程序，识别网上数字校验码，准确性高。(website check code identification procedures, and identification number of online check codes and high accuracy.)

端点检测算法采用现阶段比较精确的时频方差检测法，模式识别和模板匹配采用的是改进后的DTW算法（主要是限定了DTW的搜索路径，进一步精确了DTW的平行四边形的形状，进一步的减少匹配中的参数存贮量以及多余的搜索路径）。(Endpoint detection algorithm uses more precise at this stage variance time-frequency detection, pattern recognition and template matching is based on the improved DTW algorithm (DTW is mainly limited to the search path, and further precision of the DTW parallelogram shape, and further reduction of matching the parameters in the storage volume as well as the extra search path).)

程序实现的功能是：一种改进型的LMS算法！具有收敛速度快的特点(Procedures for the realization of the functions are: an improved algorithm of LMS! With the characteristics of fast convergence)

单点定位的滤波程序，可以获得速度信息和位置信息,这是一个滤波程序，对语音信号滤波。(A single point positioning of the filtering process, get the speed of information and location information,this is a wiener filtering process to filter the speech signal.)

MFCC：Mel频率倒谱系数的缩写。Mel频率是基于人耳听觉特性提出来的，它与Hz频率成非线性对应关系。Mel频率倒谱系数(MFCC)则是利用它们之间的这种关系，计算得到的Hz频谱特征。(Speech signal feature extraction)

System Time Modifier ModifySysTimeItem

科大讯飞语音转文字源码是一个基于科大讯飞的语音转文字的例子源码，小编测试一下表示被着准确率惊呆了，之前小编用过其他的语音搜索类的工具，但是准确率总是不那么满意，用这个例子我试着读了杂志上的一段话，语速还略微快了一些，但是转换出来的文字只有两个字跟原文不一样，但是还是同音字。(IFLYTEK speech text source is a turn based on iFLYTEK speech text examples of the source code, test bit representation of the being accurate rate was shocked, before Xiaobian used other voice search tool, but the accuracy is always not so satisfactory, for this example I try to read a passage in the magazine, speed is slightly faster, but convert text only two words with the original text is not the same, but still homophones.)

手机端蓝牙连接设备（以小车为例），通过按键、本地语音识别（pocketsphinx）和重感控制设备，蓝牙连接地址在BluetoothTools中修改，本地需要配置NDK环境才能编译。(Bluetooth mobile client devices (for example in the car), buttons, local speech recognition (pocketsphinx) and heavy sense of control devices, Bluetooth connectivity address BluetoothTools modify the local environment can be configured to compile NDK.)

基于FastICA相结合实现的语音信号的采集、随机混合，再通过盲分离将混合后的语音信号分离(Speech signal acquisition and random mixing based on FastICA, and then the mixed speech signal is separated by blind separation.)