期刊文献+

基于连续HMM语音识别系统的构建与分析

Construction and Analysis of Speech Recognition System of Continual HMM
下载PDF
导出
摘要 介绍实现语音识别系统的一些基本概念,对双门限端点检测过程用流程图的形式做详细介绍。该系统采用连续隐马尔科夫模型(HMM)进行建模,对实现过程遇到的三个基本问题进行分析并给出了解决方案。利用该系统对不同人的语音命令进行识别,准确率可达95%。 Some basic concepts of speech recognition are introduced. And the course of dual threshold endpoint detection is detailedly introduced by flow chart. Continual HMM was used as model of system. The three basic problems met in the course of realizing system are analyzed and the corresponding solutions are provided. The accuracy can reach to 95% by using system which recognized different voice commands of different people.
作者 张俊 危韧勇
出处 《计算机与现代化》 2009年第10期169-171,共3页 Computer and Modernization
关键词 语音识别 端点检测 隐马尔科夫 speech recognition endpoint detection HMM
  • 相关文献

参考文献12

二级参考文献14

  • 1姚天任.数字语音处理[M].武汉:华中理工大学出版社,1994.27-47.
  • 2Hu Zhiping,Proc Int Conf Acoustics Speech and Signal Processing,1992年,373页
  • 3杨行峻,语音信号数字处理,1995年
  • 4Huang X D,Computer Speech Language,1989年,3卷,3期,239页
  • 5杨行峻,语音信号数字处理,1995年
  • 6姚天任,数字语音处理,1994年
  • 7Gu H,IEEE Trans Signal Processing,1991年,39卷,8期,1743页
  • 8Wilpon J G, Rabiner L R, Martin T. An Improved Word-detection Algorithm for Telephone-quality Speech Incorporating Both Syntactic and Semantic Constraints.AT&T Bell Labs. Tech. J., 1984, 63: 479-498.
  • 9Chengalvarayan R, Robust Energy Normalization using Speech/nonspeech Discriminator for German connected Digit Recognition. Proc. Eurospeech'99, Budapest, Hungary, 1999. 61-64.
  • 10Haigh J A, Mason J S. Robust Voice Activity Detection Using Cepstral Features. in Proc. IEEE TENCON, 1993.321-324.

共引文献62

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部