University of Edinburgh voice processing system that can find most of voice proc...

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

用于语音识别，基于HMM模型，用C++语言编写。可用连续语音识别-It is based on HMM Model and developed with C++ which could be used to continuous speech recognition.

特征分析对于声音信号的处理非常有用，希望这个能对大家有用-Feature Analysis for the audio signal processing is very useful, hope this will be useful to everyone

一个语音开发包动态连接库，很容易使用。- A pronunciation development package dynamic connection storehouse, is very easy to use.

录音部分是参照vckbase的录音api代码,结合了一小段socket(TCP)就可以用来单方说话录音了,程序分两部分一部分是(录音机+网络发送代码),一部分是(接收数据+播放波形音乐代码),由于程序只是为了自己用,很多地方没有注意错误的识别,结构也比较乱,本程序当初最头疼的就是控制损耗内存,结果用了双缓存来存储波形数据来交替的存储/清除. -part of the recording light vckbase recording api code combination of a small socket (TCP) can be used for recording a unilateral words, part of the procedure is divided into two parts (recorders network code), part of the (receiving data waveform music broadcast code), as a result of procedures only for their own use. many places no attention to the wrong identification, the structure was chaotic, most of the first procedure is a headache for the control of memory loss, Results of the double-caching to store waveform data to the turn of the storage/removals.

g.729解码算法在VC++6.0环境下调试通过的可执行文件。-g.729 codec algorithm at VC++6.0 environment debug through the executable file.

摘要说话人识别在自动身份鉴别方面具有重要的现实意义。文章在分析了说话人识别实现的可行性基础上*提 出采用长时线性预测倒谱 +,--.,)系数和矢量量化 /0)模型的不依赖于文本的说话人识别方法，并成功地应用于 一个数据库查询系统中。-65DL5=?9?AD=7 D66@?AD7?8=H?=D 78:D7?A?=E?G?E D@=?7?8=D

英文版G.729语音压缩标准。 GENERAL ASPECTS OF DIGITAL TRANSMISSION SYSTEMS CODING OF SPEECH AT 8 kbit/s USING CONJUGATE-STRUCTURE ALGEBRAIC-CODE-EXCITED LINEAR-PREDICTION (CS-ACELP)-The English version of G.729 voice compression standards. GENERAL ASPECTS OF DIGITAL TRANSMISSIONSYSTEMSCODING OF SPEECH AT 8 kbit/sUSING CONJUGATE-STRUCTUREALGEBRAIC-CODE-EXCITEDLINEAR-PREDICTION (CS-ACELP)

matlab中wave文件的频率解析代码，欢迎使用-Matlab which documents the frequency wave analysis code, welcomed the use of

用于语音识别的汉语树形词典，完成了6万词汇的建树操作及相关子节点等的查询处理，主要用于指导语音搜索整个建立时间大概为3分钟-for speech recognition dictionary of Chinese tree, completed 60,000 contribution to the vocabulary and related operations, such as sub-nodes of query processing, Pronunciation guide for the main search the entire building for about three hours minutes