简单的基于门限值的语音端点检测。先将数字化的语音信号封装成帧，利用最大的帧幅值乘以一个比例因子得到门限值...

一个简单的报时小软。可以中文报时 初学语音识别，希望同样爱好的朋友可以多多交流-A simple small-time soft. Time learning in Chinese speech recognition, hope that the same lot of loving friends can exchange

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

用DSP技术开发的一种新的语音识别系统.caj-DSP technology development of a new voice recognition system. CAJ

研究生课程：语音识别(吴善培)- Graduate student curriculum: Speech recognition (Wu Shanpei)

WAVE文件作为多媒体中使用的声波文件格式之一，它是以RIFF格式为标准的。RIFF是英文Resource Interchange File Format的缩写，每个WAVE文件的头四个字节便是“RIFF”。WAVE文件由文件头和数据体两大部分组成。其中文件头又分为RIFF／WAV文件标识段和声音数据格式说明段两部分。WAVE文件各部分内容及格式见附表。-WAVE as a multimedia documents used in the acoustic format, it is based on RIFF format as a standard. RIFF English Resource Interchange File Format of the initials, each WAVE document for the first four bytes is "RIFF." WAVE document from the document and data on the first two major components. The first document which is divided into RIFF/logo of WAV files and voice data formats note of two parts. WAVE part of the document content and format of the attached tables.

在语音中提取基音频率的程序。输入为.wav格式的语音文件，输出各帧基音频率。-This is a project of pitch extract of voice. When input is a wave file(.wav), the output will be the fundamental frequency of each frame.

mpeg2音频编码部分的测试原代码 需要的下载-mpeg2 audio encoding part of the testing needed to download the original code

matlab关于语音信号滤波处理的文章，通过matlab实现-matlab on the voice signal filtering deal with the article, through matlab to achieve

语音识别中的MFCC参数提取的java源码和FFT的java源码-Speech Recognition MFCC parameter extraction of the java source and FFT of the java source code

数字音频格式有很多种，其质量与采样频率和采样精度两个参数有关。频率的表示单位为赫兹〔Hz〕，它表示每秒采样次数。采样频率越高，音质就越好。采样精度为每次采样所存储的数据数量，它决定每个数字信号所能够表示的离散振幅的数量。存储每个样本的数据越多，音质就越好。但是高品质的声音需要占用大量的内存和磁盘空间。考虑到网络带宽，在Internet连接上传输就需要花费很长的时间。对于Applet来说，保证声音文件的最小化是极为重要的。-digital audio format there are many, the quality and frequency of sampling and sampling accuracy of the two parameters. The frequency of Hertz unit of [Hz], it said the number of samples per second. The higher sampling frequency, the sound quality better. For each sampling precision sampling by the amount of data storage, it was decided that each digital signal can be expressed as the number of discrete amplitude. Each sample storage of more data, better sound quality. But high-quality voice would take a lot of memory and disk space. Consideration of the network bandwidth, the transmission on the Internet connection on the need to spend a very long time. Applet for instance, to ensure that voices of the smallest document is very important.