ITU

赤木正人教授在论文“Development of an F0 control model based on F0 dynamic characteristics for singing-voice synthesis”中提出的f0 preparation模型的matlab实现

语音信号的清浊音的提取是研究语音信号的一个必经的过程，如何提取清浊音也是很多初学者面临的问题-Detecting the voice and unvoice is a primily process to study speech signal.How to detect it is also the big problem to the most learner.

对HMM基础知识的了解很有帮助，有发展历史，应用等-The basis of HMM knowledge helpful, there are the history of the development, application, etc.

语音识别与合成系统. 里面有详细的介绍与程序-Speech Recognition and Synthesis System. There are a detailed introduction and procedures

该程序是非特定人语音识别程序，原来在SPCE500A下运行，能识别并应答16个命令，存储空间为128K字节。-the procedures were non-specific voice recognition procedure, in SPCE500A original run, Recognition and Response to 16 orders, storage space for 128K bytes.

模拟语音信号的动态范围解压缩算法的matlab源码-Analog voice signal dynamic range compression algorithm solution matlab source

语音识别，跳用JAVA里写的类，a simple test project-voice recognition, dancing with Java, written category, a simple test project

C语言开发工具包 （包括制表键宽度的变化，图形图像的处理，字符串的处理等等）-C-language development tools (including tabulation bond width changes, graphic image processing, string handling, etc.)

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.