{"title":"Sound localization of concurrent and continuous speech sources in reverberant environment","authors":"J. Huang, N. Ohnishi, N. Sugie","doi":"10.1109/ASPAA.1997.625636","DOIUrl":null,"url":null,"abstract":"This paper presents a model-based method for sound localization of concurrent and continuous speech sources in a reverberant environment. A new algorithm adopted from the echo-avoidance model of the precedence effect was used to detect the echo-free onsets by specifying a generalized pattern of impulse response. Fine structure time differences were calculated from the zero-crossing points in different microphones. They were integrated into an azimuth histogram by the restrictions between them. Two sound sources were localized in both an anechoic chamber and a normal room which has walls, floor and ceiling made of concrete. The time segment needed for localization was 0.5 to 2 seconds and the accuracy was a few degrees in both environments.","PeriodicalId":347087,"journal":{"name":"Proceedings of 1997 Workshop on Applications of Signal Processing to Audio and Acoustics","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1997 Workshop on Applications of Signal Processing to Audio and Acoustics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPAA.1997.625636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a model-based method for sound localization of concurrent and continuous speech sources in a reverberant environment. A new algorithm adopted from the echo-avoidance model of the precedence effect was used to detect the echo-free onsets by specifying a generalized pattern of impulse response. Fine structure time differences were calculated from the zero-crossing points in different microphones. They were integrated into an azimuth histogram by the restrictions between them. Two sound sources were localized in both an anechoic chamber and a normal room which has walls, floor and ceiling made of concrete. The time segment needed for localization was 0.5 to 2 seconds and the accuracy was a few degrees in both environments.