Speech enhancement with adaptive spectral estimators

被引：4

作者：

Sandoval-Ibarra, Y. ^{[1
]}

Diaz-Ramirez, V. H. ^{[1
]}

Kober, V. I. ^{[2
,3
]}

Karnaukhov, V. N. ^{[3
]}

机构：

[1] Inst Politecn Nacl, CITEDI, Ave Parque 1310, Mesa De Otay 22510, Tijuana Bc, Mexico

[2] CICESE, Dept Comp Sci, Carretera Ensenada Tijuana 3918, Ensenada 22860, Baja California, Mexico

[3] Russian Acad Sci, Inst Informat Transmiss Problems, Bolshoi Karetnyi Per 19 Str 1, Moscow 127051, Russia

来源：

JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS | 2016年 / 61卷 / 06期

关键词：

speech filtering; speech enhancement; robust estimators;

D O I：

10.1134/S1064226916060218

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Common statistical estimators for speech enhancement rely on several assumptions about statistical properties of speech and noise processes. In real applications, these assumptions may not be always satisfied due to the effects of a nonstationary environment. In this work, we propose new robust spectral estimators for speech enhancement by incorporation of calculation of rank-order statistics to existing speech enhancement estimators. The proposed estimators are better adapted to nonstationary characteristics of speech signals and noise processes in real environments. By means of computer simulations, we show that the proposed estimators outperform the known estimators in terms of objective criteria of quality.

引用

页码：672 / 678

页数：7

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