Audio Enhancement via Noise Reduction through Gabor Expansion

Youhong Lu, Guodong Shi, Jiansheng Zhang
{"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}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过Gabor扩展减少噪声来增强音频
在多媒体环境中,周围噪声会降低音频和视频的质量。本文将Gabor展开应用于语音信号的被动降噪。研究了Gabor展开降噪方法及其降噪性能。具有高斯原型函数的Gabor展开式具有时频积极小的性质。该特性使得纯噪声分割更加清晰,噪声估计更加鲁棒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Real-Time Estimation of Direction of Arrival of Speech Source Using Three Microphones. Optimization of Calibration Algorithms on a Manycore Embedded Platform A signal denoising technique based on wavelets modulus maxima lines and a self-scalable grid classifier Spectral Management of Multiple Wireless Signals Based Cognitive Radio Synthesizing hardware from dataflow programs: An MPEG-4 simple profile decoder case study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1