{"title":"一种改进的屁股拼接音频编辑检测算法","authors":"Mihai Belu, A. Ciobanu","doi":"10.1109/iccomm.2018.8484757","DOIUrl":null,"url":null,"abstract":"This paper tackles the detection of cut/copy/paste simple edits performed on audio recordings. Starting from a baseline implementation, we extract more meaningful parameters based on which we derive statistical indicators to evaluate the detection performance of the butt-spliced edit detection method. The experimental tests performed in different recording conditions revealed improved detection rates with false positive rates close to zero.","PeriodicalId":158890,"journal":{"name":"2018 International Conference on Communications (COMM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improved Algorithm for Butt-Spliced Audio Edit Detection\",\"authors\":\"Mihai Belu, A. Ciobanu\",\"doi\":\"10.1109/iccomm.2018.8484757\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper tackles the detection of cut/copy/paste simple edits performed on audio recordings. Starting from a baseline implementation, we extract more meaningful parameters based on which we derive statistical indicators to evaluate the detection performance of the butt-spliced edit detection method. The experimental tests performed in different recording conditions revealed improved detection rates with false positive rates close to zero.\",\"PeriodicalId\":158890,\"journal\":{\"name\":\"2018 International Conference on Communications (COMM)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Communications (COMM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iccomm.2018.8484757\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Communications (COMM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccomm.2018.8484757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved Algorithm for Butt-Spliced Audio Edit Detection
This paper tackles the detection of cut/copy/paste simple edits performed on audio recordings. Starting from a baseline implementation, we extract more meaningful parameters based on which we derive statistical indicators to evaluate the detection performance of the butt-spliced edit detection method. The experimental tests performed in different recording conditions revealed improved detection rates with false positive rates close to zero.