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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

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