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题名: Speech endpoint detection algorithm for Uyghur based on acoustic frequency feature
作者: YangYating ; MaBo ; TurghunOsman ; LiXiao
会议名称: 2010 IEEE 10th International Conference on Signal Processing, ICSP2010
会议日期: October 24, 2010 - October 28, 2010
出版日期: 2010
会议地点: Beijing, China
关键词: endpoint detection ; spectral distribution ; spectral density ; sub-band ; noise substraction
通讯作者: Yang, Y.(yangyt_xj@sina.com)
出版地: Institute of Electrical and Electronics Engineers Inc., 445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States
收录类别: EI
ISBN: 9781424458981
部门归属: (1) Research Center for Multilingual Information Technology, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China
摘要: Accurate endpoint detection is important for improving the speech recognition capability. This paper proposes an effective endpoint detection algorithm based on the acoustic frequency feature for Uyghur. The spectrum of each speech frame is divided into several sub-bands, and the maximum average spectral density of these sub-bands is used as the detection criteria to distinguish the speech and noise. At the same time, a dynamically updated threshold and a smoothing window are used to improve the performance of the algorithm. It is characterized by higher accuracy or flexibility, faster processing speed and less computation. Experimental results show that the proposed algorithm achieves better performance compared to energy based and zero-crossing rate based algorithms. © 2010 IEEE.
语种: 英语
内容类型: 会议论文
URI标识: http://ir.xjipc.cas.cn/handle/365002/3604
Appears in Collections:多语种信息技术研究室_会议论文

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