个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:信息与通信工程学院
学科:信号与信息处理. 通信与信息系统
办公地点:大连理工大学创新园大厦A526室
联系方式:0411-84706005-3526
电子邮箱:zhechen@dlut.edu.cn
基于拟蒙特卡洛滤波的说话人跟踪方法
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发表时间:2009-01-01
发表刊物:自动化学报
卷号:35
期号:7
页面范围:1016-1021
ISSN号:0254-4156
摘要:A mean shift quasi-Monte Carlo (MS-QMC) method is proposed for speaker
tracking. To explore the state space more efficiently, deterministic
samplers are used instead of random draws according to a quasi-Monte
Carlo integration rule in the new method. Furthermore, a mean shift
procedure is applied to move particles toward the modes of the
posterior, leading to a more effective allocation of particles thereupon
fewer particles are needed. Simulation results show that compared with
the traditional particle filter, both speaker tracking accuracy and
convergent rate of the proposed method are improved.
备注:新增回溯数据