{"title":"带有语音活动检测器的双麦克风自适应降噪器","authors":"Haichen Zhao, Liangrong Li, Linhua Li, Shaolu Hu","doi":"10.1109/TENCONSPRING.2014.6863095","DOIUrl":null,"url":null,"abstract":"This paper presents a dual-microphone adaptive noise cancelling algorithm which uses the voice activity detection method in the adaptive noise cancellation to avoid voice leakage. With such a method, the noise canceller can well judge and cancel the environmental noises from the mixed signals and restore the desired voices. A series of tests are carried out with voices and noises which all prove the algorithm's excellent performances.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Dual-microphone adaptive noise canceller with a voice activity detector\",\"authors\":\"Haichen Zhao, Liangrong Li, Linhua Li, Shaolu Hu\",\"doi\":\"10.1109/TENCONSPRING.2014.6863095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a dual-microphone adaptive noise cancelling algorithm which uses the voice activity detection method in the adaptive noise cancellation to avoid voice leakage. With such a method, the noise canceller can well judge and cancel the environmental noises from the mixed signals and restore the desired voices. A series of tests are carried out with voices and noises which all prove the algorithm's excellent performances.\",\"PeriodicalId\":270495,\"journal\":{\"name\":\"2014 IEEE REGION 10 SYMPOSIUM\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE REGION 10 SYMPOSIUM\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENCONSPRING.2014.6863095\",\"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 REGION 10 SYMPOSIUM","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCONSPRING.2014.6863095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dual-microphone adaptive noise canceller with a voice activity detector
This paper presents a dual-microphone adaptive noise cancelling algorithm which uses the voice activity detection method in the adaptive noise cancellation to avoid voice leakage. With such a method, the noise canceller can well judge and cancel the environmental noises from the mixed signals and restore the desired voices. A series of tests are carried out with voices and noises which all prove the algorithm's excellent performances.