基于自适应交互式多模型粒子滤波的分布式说话人跟踪算法

删除或更新信息，请邮件至freekaoyan#163.com(#换成@)

本站小编 Free考研考试/2024-01-16

-->

代金良,陈喆,殷福亮.基于自适应交互式多模型粒子滤波的分布式说话人跟踪算法[J].,2021,61(4):

基于自适应交互式多模型粒子滤波的分布式说话人跟踪算法

Distributed speaker tracking algorithm based on adaptive interacting multiple model and particle filtering

DOI：10.7511/dllgxb202104010

中文关键词:分布式麦克风网络粒子滤波交互式多模型贝叶斯滤波

英文关键词:distributed microphone networks particle filter interacting multiple model Bayesian filtering

基金项目:国家自然科学基金资助项目(6177109161871066)；国家“八六三”高技术研究发展计划资助项目(2015AA016306)；辽宁省自然科学基金资助项目(20170540159)；中央高校基本科研业务费专项资金资助项目(DUT17LAB04).

作者	单位
代金良,陈喆,殷福亮

摘要点击次数:286

全文下载次数:150

中文摘要:

针对分布式麦克风网络中的说话人跟踪问题，提出一种自适应交互式多模型粒子滤波算法，以实现复杂环境下对说话人的分布式跟踪．首先，对分布式麦克风网络中的说话人跟踪问题建立状态空间模型，并利用贝叶斯滤波理论求解该问题．然后，将交互式多模型与粒子滤波相结合，提出一种双粒子滤波方法对运动模型的转换概率进行自适应估计，以更好地对多种运动模式的说话人进行跟踪．最后，应用一致性算法对分布式麦克风网络中各节点说话人位置矢量的后验分布进行最优融合，从而可能得到全局的最优估计结果．该算法不要求状态空间模型中运动模型转换概率已知，相比传统IMMPF算法对声源复杂运动具有更好的鲁棒性．仿真实验结果验证了该算法的有效性．

英文摘要:

To achieve distributed speaker tracking in complex environment, an adaptive interacting multiple model and particle filter algorithm is proposed for speaker tracking in distributed microphone networks. Firstly, a state space model is established for speaker tracking problem in distributed microphone networks, and Bayesian filtering theory is used to solve the problem. Then, the interacting multiple model is combined with the particle filtering, and the dual-particle filter method is presented to adaptively estimate the transition probability of the motion model in order to better track the speakers with multiple motion modes.Last, the consensus algorithm is used to realize the approximate optimal fusion of the posterior distribution estimates of the speaker position vector calculated by each node in the distributed microphone network, so as to nearly achieve the global optimal estimation results. The proposed algorithm does not require that the transition probability of the motion model in the state space model is known, and improves the robustness of the traditional IMMPF algorithm to the complex trajectory of the sound source. Simulation test results show the effectiveness of the proposed algorithm.

查看全文查看/发表评论下载PDF阅读器

关闭

基于自适应交互式多模型粒子滤波的分布式说话人跟踪算法

本站小编 Free考研考试/2024-01-16

相关话题/

领限时大额优惠券,享本站正版考研考试资料!