分布式语音识别的相关标准及主要技术  

Relative Standards and Major Techniques of Distributed Speech Recognition

作　　者：梁钊[1] 

机构地区：[1]五邑大学信息学院,广东江门529020

出　　处：《电声技术》2004年第12期47-50,53,共5页Audio Engineering

基　　金：广东省自然科学基金资助项目(000872)

摘　　要：分布式语音识别(DSR)是近年来出现的新技术,具有广阔的应用前景。结合ETSI关于DSR的最新标准介绍了DSR系统的组成,分析了DSR的主要技术,如前端特征提取算法、特征压缩与纠检错、服务器端的语音重构算法等,最后对DSR技术的应用做了简单展望。Distributed Speech Recognition (DSR) is a newly emerging technique, which will be widely used in various areas. In this paper the system structure of DSR is first introduced, then the major techniques used such as the front-end feature extraction algorithm, feature compression, error correction and detection, as well as the server side speech reconstruction algorithm are analyzed, and finally the potential application of DSR is briefly discussed.

关 键 词：分布式语音识 欧洲电信标准协会标准 前端处理 语音重构 

分 类 号：TN912.34[电子电信—通信与信息系统]