{"title":"通过Gabor扩展减少噪声来增强音频","authors":"Youhong Lu, Guodong Shi, Jiansheng Zhang","doi":"10.1109/SIPS.2007.4387524","DOIUrl":null,"url":null,"abstract":"Surrounded noises degrade both audio and video qualities in a multimedia environment. This paper applies Gabor expansion to passive noise reduction of speech signals. The noise reduction method and performance via Gabor expansion are studied. The Gabor expansion with Gaussian prototype function has a property that its time and frequency product is minimal. The property makes the noise-only segment more clearly and the noise estimate more robustly.","PeriodicalId":93225,"journal":{"name":"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)","volume":"7 1","pages":"90-94"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Audio Enhancement via Noise Reduction through Gabor Expansion\",\"authors\":\"Youhong Lu, Guodong Shi, Jiansheng Zhang\",\"doi\":\"10.1109/SIPS.2007.4387524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Surrounded noises degrade both audio and video qualities in a multimedia environment. This paper applies Gabor expansion to passive noise reduction of speech signals. The noise reduction method and performance via Gabor expansion are studied. The Gabor expansion with Gaussian prototype function has a property that its time and frequency product is minimal. The property makes the noise-only segment more clearly and the noise estimate more robustly.\",\"PeriodicalId\":93225,\"journal\":{\"name\":\"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)\",\"volume\":\"7 1\",\"pages\":\"90-94\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIPS.2007.4387524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.2007.4387524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Audio Enhancement via Noise Reduction through Gabor Expansion
Surrounded noises degrade both audio and video qualities in a multimedia environment. This paper applies Gabor expansion to passive noise reduction of speech signals. The noise reduction method and performance via Gabor expansion are studied. The Gabor expansion with Gaussian prototype function has a property that its time and frequency product is minimal. The property makes the noise-only segment more clearly and the noise estimate more robustly.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
