Sound source tracking via two microphones based on MUSIC using PSO

Kenta Omiya, K. Suyama
{"title":"Sound source tracking via two microphones based on MUSIC using PSO","authors":"Kenta Omiya, K. Suyama","doi":"10.1109/ISPACS.2016.7824718","DOIUrl":null,"url":null,"abstract":"In this paper, a method for multiple sound source tracking via two microphones is proposed. In our previous work, the summed MUSIC (MUltiple SIgnal Classification) spectrum was used as an evaluation function for PSO (Particle Swarm Optimization). Then, the penalty function is added to avoid the same direction tracking. However, the penalty function is fixed without the tracking situation. In the proposed method, the penalty function is calculated from the mixed Cauchy distribution is fitted to the denominator of MUSIC spectrum. The effectiveness of the proposed method is shown by several experimental results.","PeriodicalId":131543,"journal":{"name":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2016.7824718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In this paper, a method for multiple sound source tracking via two microphones is proposed. In our previous work, the summed MUSIC (MUltiple SIgnal Classification) spectrum was used as an evaluation function for PSO (Particle Swarm Optimization). Then, the penalty function is added to avoid the same direction tracking. However, the penalty function is fixed without the tracking situation. In the proposed method, the penalty function is calculated from the mixed Cauchy distribution is fitted to the denominator of MUSIC spectrum. The effectiveness of the proposed method is shown by several experimental results.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于PSO的MUSIC双麦克风声源跟踪
本文提出了一种利用双传声器跟踪多声源的方法。在我们之前的工作中,我们将MUSIC (MUltiple SIgnal Classification)谱的求和作为粒子群优化(Particle Swarm Optimization)的评价函数。然后,加入惩罚函数,避免同方向跟踪。但是,惩罚函数是固定的,没有跟踪情况。该方法将混合柯西分布拟合到MUSIC谱的分母上,计算罚函数。实验结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
SDN experimental on the PSU network Time frequency analysis: A sparse S transform approach Automatic rule registration and deletion function on a packet lookup engine LSI Study on the latency efficient IFFT design method for low latency communication systems An inverse tone mapping operator based on Reinhard's global operator
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1