{"title":"一种基于骨传导传声器的鲁棒语音增强方案","authors":"Mingzhe Zhu, H. Ji, Falong Luo, Wei Chen","doi":"10.1109/IWSDA.2007.4408396","DOIUrl":null,"url":null,"abstract":"This paper presents a novel speech enhancement scheme on the basis of bone-conductive microphones. High performance in non-stationary noisy environments is achieved by combining the following two techniques: the speech detection based on the bone-conductive microphone signal, and non-stationary noise suppression by adaptive spectral subtraction. Unlike regular air-conductive microphones, bone-conductive microphones are insensitive to environmental noises and background speech. By employing this advantage, we are able to detect very robustly speech in non-stationary noisy environments. Furthermore, based on the reliable speech detection results, the adaptive spectral subtraction can operate effectively even under low SNR conditions.","PeriodicalId":303512,"journal":{"name":"2007 3rd International Workshop on Signal Design and Its Applications in Communications","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"A Robust Speech Enhancement Scheme on The Basis of Bone-conductive Microphones\",\"authors\":\"Mingzhe Zhu, H. Ji, Falong Luo, Wei Chen\",\"doi\":\"10.1109/IWSDA.2007.4408396\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel speech enhancement scheme on the basis of bone-conductive microphones. High performance in non-stationary noisy environments is achieved by combining the following two techniques: the speech detection based on the bone-conductive microphone signal, and non-stationary noise suppression by adaptive spectral subtraction. Unlike regular air-conductive microphones, bone-conductive microphones are insensitive to environmental noises and background speech. By employing this advantage, we are able to detect very robustly speech in non-stationary noisy environments. Furthermore, based on the reliable speech detection results, the adaptive spectral subtraction can operate effectively even under low SNR conditions.\",\"PeriodicalId\":303512,\"journal\":{\"name\":\"2007 3rd International Workshop on Signal Design and Its Applications in Communications\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 3rd International Workshop on Signal Design and Its Applications in Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWSDA.2007.4408396\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 3rd International Workshop on Signal Design and Its Applications in Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWSDA.2007.4408396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Robust Speech Enhancement Scheme on The Basis of Bone-conductive Microphones
This paper presents a novel speech enhancement scheme on the basis of bone-conductive microphones. High performance in non-stationary noisy environments is achieved by combining the following two techniques: the speech detection based on the bone-conductive microphone signal, and non-stationary noise suppression by adaptive spectral subtraction. Unlike regular air-conductive microphones, bone-conductive microphones are insensitive to environmental noises and background speech. By employing this advantage, we are able to detect very robustly speech in non-stationary noisy environments. Furthermore, based on the reliable speech detection results, the adaptive spectral subtraction can operate effectively even under low SNR conditions.