{"title":"杂波丛林中猕猴桃叫声到达方向估计","authors":"Craig Gray, Yusuke Hioka","doi":"10.1109/SAS.2014.6798957","DOIUrl":null,"url":null,"abstract":"This paper outlines the steps taken to accurately perform acoustic source localisation of kiwi calls using microphone arrays in the presence of noise and reverberation. A generalised cross correlation exploiting the reverberation resistance of the PHAT weighting function was investigated and implemented as part of the system. To reduce correlated noise, spectral subtraction and Wiener filtering were investigated, and their suitability in the system was analysed. A novel algorithm exploiting the harmonic structure of the kiwi call is proposed to determine whether or not a kiwi call is present. In a reverberant and noisy environment, the proposed method outperformed the previous study in terms of the estimation accuracy, which had an average deviation of 4.18°.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Direction of arrival estimation of kiwi call in noisy and reverberant bush\",\"authors\":\"Craig Gray, Yusuke Hioka\",\"doi\":\"10.1109/SAS.2014.6798957\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper outlines the steps taken to accurately perform acoustic source localisation of kiwi calls using microphone arrays in the presence of noise and reverberation. A generalised cross correlation exploiting the reverberation resistance of the PHAT weighting function was investigated and implemented as part of the system. To reduce correlated noise, spectral subtraction and Wiener filtering were investigated, and their suitability in the system was analysed. A novel algorithm exploiting the harmonic structure of the kiwi call is proposed to determine whether or not a kiwi call is present. In a reverberant and noisy environment, the proposed method outperformed the previous study in terms of the estimation accuracy, which had an average deviation of 4.18°.\",\"PeriodicalId\":125872,\"journal\":{\"name\":\"2014 IEEE Sensors Applications Symposium (SAS)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Sensors Applications Symposium (SAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAS.2014.6798957\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS.2014.6798957","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Direction of arrival estimation of kiwi call in noisy and reverberant bush
This paper outlines the steps taken to accurately perform acoustic source localisation of kiwi calls using microphone arrays in the presence of noise and reverberation. A generalised cross correlation exploiting the reverberation resistance of the PHAT weighting function was investigated and implemented as part of the system. To reduce correlated noise, spectral subtraction and Wiener filtering were investigated, and their suitability in the system was analysed. A novel algorithm exploiting the harmonic structure of the kiwi call is proposed to determine whether or not a kiwi call is present. In a reverberant and noisy environment, the proposed method outperformed the previous study in terms of the estimation accuracy, which had an average deviation of 4.18°.