cti编程的全面例子

使用gabor变换作语音识别，下载自剑桥的实验室的网站，有兴趣的可以去网站上找资料-used for voice recognition, Cambridge downloaded from the website of the laboratory, interested parties can go to find information on the web site

经TLV320AIC23音频编解码器，一方面送入DSP存储器，另一方面方便用户实现录音和播音-By TLV320AIC23 audio codec, on the one hand into the DSP memory, on the other hand, realize user-friendly recording and broadcasting

celp算法实现 -Implemention of celp algorithm

隐马尔科夫模型的建立，该模型可广泛应用于语音识别、对象定位、多序列比对中。-Hidden Markov model, the model can be widely used in speech recognition, object positioning, multiple sequence alignment of.

可以使用WIN CE的录放音程式码,可以储存录音档，由embedded visual c++ sp4 所开发-WIN CE can use the playback audio code, audio files can be stored by the embedded visual c++ Sp4 developed

XP Menu是一款神奇的小控件，可以将Menu和Pop-up Menu转变成Office XP风格。-XPMenu is a magic control.It can change Menu and Pop-up Menu to Office XP character.

用VC编的用于实时录音的工具，相当于windows的录音工具。-A realtime recording tool developed with VC just like the recording tool of windows.

基于WINDOWS的SVM的开发工具，特别适合初学者，不需要太了解SVM原理-SVM based on the Windows development tool, especially for beginners, SVM not understand much about Principle

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.

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