G.729语音压缩标准英文版。挖掘的一般方面…

HMM模型在语音识别中的应用，相信对HMM模型感兴趣的语音或图像等专业人员应该明白价值。-It is about Hidden Markov Models (HMM) method in Speech Recognition research. those interested in HMM or speech/image processing should know it s value.

本文以凌阳公司的SPCE061A单片机为控制核心，以语音小车控制电路板为辅，设计小车的动作。完成了电源电路、复位电路、键盘电路、音频输入电路，音频输出电路和无线控制电路等硬件功能模块的设计。在软件方面，利用C语言进行编程，进行语音的“训练”和“识别”。设计出具有如下功能的语音声控小车:能够根据录制的语音命令来控制小车的前进，后退，左转，右转的功能。测试表明，在环境背景噪音不太大，控制者的发音清晰的前提下，语音控制小车的语音识别系统能对特定的语音指令做出智能反应，做出预想中的有限的动作。

语音识别中的通道自相关函数，matlab版。自己编的，通过测试-Speech Recognition access autocorrelation function, Matlab version. His series, testing

这是一个语音播放程序,对于编程人员很有帮助,使用vb开发的-It is a program to play speech record,useful to programmer,programed by VB.

一种基于mfcc语音特征提取方法，识别率还可以-MFCC-based speech feature extraction method, recognition rate can also be

该文章是语音去噪方面的，比较新，希望对大家有帮助-The article is a voice de-noising aspects, relatively new, we want to help

This code is used to remove silence from a voice signal so that the recognition in voice recognition will give good result. The method is Scale on threshold applied to the envelope for detecting scilence periods. The actual threshold is computed by multiplying threshin" by the median value of the envelope samples. The default is (.25), whichis 25 of the median envelope value over input signal .-This code is used to remove silence from a voice signal so that the recognition in voice recognition will give good result. The method is Scale on threshold applied to the envelope for detecting scilence periods. The actual threshold is computed by multiplying threshin" by the median value of the envelope samples. The default is (.25), whichis 25 of the median envelope value over input signal .

简单的语音合成程序（text to speech）,从事此方面的，可以参考他的引擎-simple speech synthesis (text to speech), engaged in this aspect, he can refer to the engine

语音识别程序 可读出文本框中的文字,单词-a voise idetifying program,it can read string and word in word frame

基于MATLAB的语音识别系统程序,包括HMM,DTW,Record三个matlab的M文件.-MATLAB-based speech recognition system procedures, including HMM, DTW, Record three Matlab M documents.