The optimization of Speech Endpoint Confirmation Research

摘要：

In speech processing, Speech Endpoint Confirmation has a very important position. Sub-band average-energy and the variance of the wavelet coefficients are the common algorithms, the disadvantage of the former algorithm is the limitation of only suitable for Gaussian white noise environment, while the latter algorithm cant overcome the drawback in Time-consuming, bad realtime. According to these problems, this paper puts forward optimization algorithm combined with the two methods. It improves applicability in speech endpoint confirmation. The MATLAB simulation results show that the system using the optimization algorithm achieved optimal accuracy and quickness, and gained anticipative effect.

关键词： endpoint Confirmation variance of the wavelet coefficients sub-band average-energy

作者: Chen Baoyuan LiuYing YuHaibin Zhou Yongjian

作者单位: The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province,Harbin University of Science and Technology,Harbin 150080,China

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 907-910

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）