{"title":"基于非负矩阵分解的双话检测方法","authors":"N. Cahill, R. Lawlor","doi":"10.1109/ISSPIT.2008.4775728","DOIUrl":null,"url":null,"abstract":"In this paper a novel approach to doubletalk detection (DTD) is presented. This approach uses a modified non-negative matrix factorization (NMF) technique originally developed for monaural sound source separation to perform DTD. The efficacy of this approach is demonstrated through experiments using real room impulse responses (RIRs). The properties of this algorithm are then discussed with reference to experimental results.","PeriodicalId":213756,"journal":{"name":"2008 IEEE International Symposium on Signal Processing and Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Approach to Doubletalk Detection Based on Non-Negative Matrix Factorization\",\"authors\":\"N. Cahill, R. Lawlor\",\"doi\":\"10.1109/ISSPIT.2008.4775728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a novel approach to doubletalk detection (DTD) is presented. This approach uses a modified non-negative matrix factorization (NMF) technique originally developed for monaural sound source separation to perform DTD. The efficacy of this approach is demonstrated through experiments using real room impulse responses (RIRs). The properties of this algorithm are then discussed with reference to experimental results.\",\"PeriodicalId\":213756,\"journal\":{\"name\":\"2008 IEEE International Symposium on Signal Processing and Information Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Signal Processing and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPIT.2008.4775728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Signal Processing and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2008.4775728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Approach to Doubletalk Detection Based on Non-Negative Matrix Factorization
In this paper a novel approach to doubletalk detection (DTD) is presented. This approach uses a modified non-negative matrix factorization (NMF) technique originally developed for monaural sound source separation to perform DTD. The efficacy of this approach is demonstrated through experiments using real room impulse responses (RIRs). The properties of this algorithm are then discussed with reference to experimental results.
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