更好的语音解释程序

这里主要我自己成果，是关于语音编码的，个人认为还可以，里面程序上传前经本人调试确认完全可用．有对多级矢量量化的程序（这个网上很少有），还有就是对MELP多帧参数的提取（这些网上也少见），还有就是统计子带清浊音概率的，还有一个我搜集的认为比较好的关于语音编码的英文文档．-Here the main results of my own, on the speech coding, and personally think that can also be inside the procedure before From my debugging can be used to confirm complete. There are of multi-stage vector quantization process (the online few), there is a multi-frame MELP parameters of the extraction (which are online also rare), there is statistical subband audio Qingzhuo probability, there is one I have collected think of a better speech coding on the document in English.

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

几乎可以完全所有语音分析， 并能通过插入编程代码执行如何复杂的自定义数据分析运算-almost entirely all voice analysis, and the programming code inserted through the complexity of the implementation of the self-definition of Operational Data Analysis

转换音频Wav到PCM PCM -> G723 G729 Gsm iLBC G723 G729 Gsm iLBC -> PCM 需要p_voice库支持-Audio Conversion Wav to PCMPCM-

SimpleSpeech是一个使用HMM的自动语音识别系统。对象是研究的学生和对自动语音识别有兴趣的研究工作者。-SimpleSpeech HMM is a use of the Automated Voice Recognition System. The object is to study the students and Automatic Speech Recognition to interested researchers.

一个VC实现的,用G.729a实现的语言对讲的例子-a VC, using G.729a achieve language Talkback example

用labview实现的基于mfcc的说话人识别，测试的结果不是太理想，但体现的思想应该对labview的学习有所帮助-Using LabVIEW realize the MFCC-based speaker recognition, the test results are not too ideal, but should embody the idea of learning LabVIEW help

G.723语音编码 The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the quantizer scale factor, y(k), is determined by "unlocked" factor yu(k) only. The factor yl(k) and speed-contral factor al(k) are ignored.-G.723 speech coding The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the Quantizer scale factor, y (k), is determined by "unlocked" factor yu (k) only. The factor yl (k) and speed-contral factor al (k) are ignored.

非常好的音频频谱分析工具，并能够可视化显示。共有EQ Mode/spectrum/pick等六种显示模式。

使用MATLAB编写的nlms滤波器程序代码！-Prepared using the MATLAB program code nlms filter!