{"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.