CASIA OpenIR  > 09年以前成果
Suppression of additive noise using a power spectral density MMSE estimator
Ding, GH; Huang, T; Xu, B
2004-06-01
发表期刊IEEE SIGNAL PROCESSING LETTERS
卷号11期号:6页码:585-588
文章类型Article
摘要In this letter, we propose a novel speech enhancement approach, called power spectral density minimum mean-square error (PSD-MMSE) estimation-based speech enhancement, which is implemented in the power spectral domain where stationary stochastic noise can be modeled as the exponential distribution. Speech magnitude-squared spectra are modeled as the mixed exponential distribution. And an MMSE estimator is constructed based on the parametric distributions. Besides, a fast algorithm is presented to implement the approach in real time. Experimental results of Itakura-Saito distortion measures show that the proposed approach is superior to alternative speech enhancement algorithms.
关键词Exponential Distribution. Gaussian Distribution Minimum Mean-square Error (Mmse) Power Spectral Density (Psd)
WOS标题词Science & Technology ; Technology
关键词[WOS]AMPLITUDE ESTIMATOR
收录类别SCI
语种英语
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000221578500016
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9051
专题09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, High Tech Innovat Ctr, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Ding, GH,Huang, T,Xu, B. Suppression of additive noise using a power spectral density MMSE estimator[J]. IEEE SIGNAL PROCESSING LETTERS,2004,11(6):585-588.
APA Ding, GH,Huang, T,&Xu, B.(2004).Suppression of additive noise using a power spectral density MMSE estimator.IEEE SIGNAL PROCESSING LETTERS,11(6),585-588.
MLA Ding, GH,et al."Suppression of additive noise using a power spectral density MMSE estimator".IEEE SIGNAL PROCESSING LETTERS 11.6(2004):585-588.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Ding, GH]的文章
[Huang, T]的文章
[Xu, B]的文章
百度学术
百度学术中相似的文章
[Ding, GH]的文章
[Huang, T]的文章
[Xu, B]的文章
必应学术
必应学术中相似的文章
[Ding, GH]的文章
[Huang, T]的文章
[Xu, B]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。