H。263标准的编解码程序代码，仅作参考， 甚用！-H. 263 codec standard code for information only, the very use!

语音信号处理工具包，是日本的一个大学开发的，对于HMM模型的建立很有帮助。-A tool box of speech processing, exploited by a Japanese university. It s quite helpful for setting up a HMM model.

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.

一个基于DTW的的孤立词的语音识别系统，采用率为800，可以识别六个字左右的短语，是特定人的识别系统。运行时请更改工作目录：工程->设置->调试->更改工作目录即可-The DTW-based isolated word speech recognition system, using rate of 800, can identify words around the phrase, a specific person

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.

CMU大名鼎鼎的SPHINX－3大词汇量连续语音识别系统，应用于Unix和Windows，做语音识别的必备工具。-CMU famous SPHINX-3 large vocabulary continuous speech recognition system, used in Unix and Windows, so the essential voice recognition tools.

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这是一个从音频信号里提取特征参量的程序，从事此方面的同志，不妨参考-This a signal from the audio extract features parametric procedures, engaged in this regard, the comrades might reference! !

语音合成 变速不变调 变调不变速 且每行都有注释 适合学习-The same tune speech synthesis speed transmission and the modulation is not suitable for learning each line has a comment

Adaptive filter designer.LMSNLMS