A Priori SNR Estimation Based on Momentum Term

被引：0

作者：

Ou Shi-Feng ^{[1
]}

Wang Xian-Yun ^{[1
]}

Sun Yan-Long ^{[1
]}

Gao Ying ^{[1
]}

机构：

[1] Yantai Univ, Sch Optoelect Informat Sci & Technol, Yantai 264005, Peoples R China

来源：

2011 30TH CHINESE CONTROL CONFERENCE (CCC) | 2011年

关键词：

Speech Enhancement; Decision-Directed Algorithm; Momentum Term; a priori SNR; Noise Reduction; SPEECH ENHANCEMENT;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In view of the parameters estimation problem of a priori SNR in speech enhancement, a new method in this paper is proposed by adding momentum term. This algorithm maintains the advantages of the direct decision algorithm in effectiveness and briefness, also improves the tracking speed of the instantaneous SNR, therefore it can further suppress the generation of musical noise. Simulation results under several noises settings show that the proposed a priori SNR estimation method based on momentum term has better performance than the direct decision method.

引用

页码：3292 / 3295

页数：4

共 8 条

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