中国科学院新疆理化技术研究所机构知识库
Advanced  
XJIPC OpenIR  > 多语种信息技术研究室  > 会议论文
题名:
A bayesian approach to phoneme detection for uyghur
作者: ShadikeMuhetaer ; WasiliBuheliqiguli ; LiXiao
会议名称: 2012 International Conference on Sensors, Measurement and Intelligent Materials, ICSMIM 2012
会议日期: December 26, 2012 - December 27, 2012
出版日期: 2013
会议地点: Guilin, China
关键词: Speech Recognition ; Keyword Spotting ; Acoustic Feature ; Voiced Speech ; Unvoiced Speech ; Speech Segmentation
通讯作者: Shadike, M.(muhtar_xjedu@163.com)
出版地: Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
收录类别: EI
ISSN: 16609336
ISBN: 9783037856529
部门归属: (1) The Xinjiang Technical Institute of Physics and Chemistry, Urumchi, China
摘要: In this paper, we presented a semantic speech segmentationapproach, in particular phoneme segmentation. In order to get phoneme level information, a novel voiced speech, unvoiced speech and silence(VUS) classification is proposed. Five parameters that can be extracted by short-time analysis methods are used to discriminate the phonemeboundary. Experiments on Uyghur broadcasting news indicate that theperformance of proposed algorithm is satisfying.
语种: 英语
内容类型: 会议论文
URI标识: http://ir.xjipc.cas.cn/handle/365002/3594
Appears in Collections:多语种信息技术研究室_会议论文

Files in This Item:

There are no files associated with this item.


Recommended Citation:
ShadikeMuhetaer,WasiliBuheliqiguli,LiXiao. A bayesian approach to phoneme detection for uyghur[C]. 见:2012 International Conference on Sensors, Measurement and Intelligent Materials, ICSMIM 2012. Guilin, China. December 26, 2012 - December 27, 2012.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[ShadikeMuhetaer]'s Articles
[WasiliBuheliqiguli]'s Articles
[LiXiao]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[ShadikeMuhetaer]‘s Articles
[WasiliBuheliqiguli]‘s Articles
[LiXiao]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Powered by CSpace