A bayesian approach to phoneme detection for uyghur
文献类型:会议论文
作者 | ShadikeMuhetaer ; WasiliBuheliqiguli ; LiXiao |
出版日期 | 2013 |
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 |
会议地点 | Guilin, China |
关键词 | Speech Recognition Keyword Spotting Acoustic Feature Voiced Speech Unvoiced Speech Speech Segmentation |
页码 | 1030-1034 |
通讯作者 | Shadike, M.(muhtar_xjedu@163.com) |
中文摘要 | 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. |
收录类别 | EI |
会议录出版地 | Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany |
语种 | 英语 |
ISSN号 | 16609336 |
ISBN号 | 9783037856529 |
源URL | [http://ir.xjipc.cas.cn/handle/365002/3594] ![]() |
专题 | 新疆理化技术研究所_多语种信息技术研究室 |
推荐引用方式 GB/T 7714 | 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. |
入库方式: OAI收割
来源:新疆理化技术研究所
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