Cepstrumrecognition

自动语音应答系统 硬件需要一个语音卡或一个语音modem 其中有6个类，下载包里头有详细类说明(Automatic Voice Response System hardware needs a sound card or a voice modem which six categories, Download Packet Erlitou detailed presentation on)

声音特征提取程序，分帧后，对于每一帧提取MFCC等特征(voice feature extraction)

C语言实现的端点检测,具有良好的效果,对于做语音识别者来说，是很好的参考(C language implementation of endpoint detection, with good results)

科大讯飞关于语音识别开发SDK库，支持语音转汉字功能及根据读汉字功能。有兴趣的可以好好研究研究(IFLYTEK speech recognition development SDK library are interested in a good studies)

是一个语音识别的程序，有LPCC，MFCC等的代码，最后用SVM进行分类(Is a voice recognition program, there LPCC, MFCC and other code, the final classification with SVM)

PESQ是用于语音质量评估的一种方法，ITU提供了代码(P.862 : Perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs)

产生双音多频信号。输入任何参数就可得到所要的结果。(Generate DTMF signal. Input any parameters, you will get what you need.)

文中研究了6种常用数字调制信号识别的特征参数集，并采用决策树判别方法进行分类识别。仿真结果表明，在SNR≥5dB时，识别正确率在99 以上，且当SNR≥20dB时，识别正确率达到100 。其特点是，算法简单，识别正确率高，达到了自动分类识别的目的，并有利于实现识别的实时化。(In this paper, we study the set of characteristic parameters of the six kinds of commonly used digital modulation signal recognition, and decision tree method for classification. The simulation results show that SNR 鈮� 5dB, the correct rate more than 99 , and when SNR 鈮� 20dB, the correct rate of 100 . Which is characterized by simple algorithm to identify the correct rate, to achieve the purpose of automatic classification and recognition, and help to identify real-time.)

c++语言开发，用于LPCC特征参数提取的，在语言识别系统中应用广泛。(c language, LPCC Features for feature extraction, in language recognition system widely used.)

说明：   端点检测是指用数字处理技术来找出语音信号中的各种段落（如音素、音节、词素、词等）的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样，将其分帧并计算短时能量和过零率参数，然后进行端点检测。这种工作方式被称为离线处理方法 ，无法实现语音信号的实时处理，对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件，在MATLAB环境下将其嵌入到figure窗口中，以GUI程序的方式使用，实现语音信号端点检测的实时处理。(Endpoint detection is the use of digital processing techniques to identify the speech signals in a variety of paragraphs (such as phoneme, syllable, morpheme, word, etc.) the starting point and the end position. Speech endpoint detection is a paragraph beginning and end speech analysis, speech synthesis and speech recognition of a necessary link. Traditional endpoint detection method is to obtain from the wav file voice sampling, its sub-frame and calculate the short-term energy and zero-crossing rate parameters, and then proceed to endpoint detection. This work is called off-line approach can not achieve real-time speech signal processing, analysis of the speech signal has a certain limitations. In this paper, through the development of ActiveX controls, in the MATLAB environment to embedded figure window to use GUI program, the realization of speech signal processing real-time endpoint detection.)