Noisy Speech Enhancement Using a Novel a Priori SNR Estimation

被引：0

作者：

Deng, Chao ^{[1
]}

Liu, Xiao-rui ^{[2
]}

Liu, Hong-min ^{[1
]}

Wang, Zhi-heng ^{[1
]}

机构：

[1] Henan Polytech Univ, Coll Comp Sci & Technol, Jiaozuo, Peoples R China

[2] Yantai Univ, Sch Comp, Yantai, Peoples R China

来源：

ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 2 | 2011年 / 105卷

关键词：

speech enhancement; DD; Wiener filtering; priori SNR; noise reduction;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In view of the problem of a priori SNR estimation in speech enhancement, a novel algorithm is proposed in this paper. Through adding momentum term, the presented algorithm maintains the advantages of indirect decision algorithm in effectiveness, and improves the tracking speed of instantaneous SNR with the elimination of musical noise. Simulation results demonstrate that the algorithm possesses good performance in many kinds of noise conditions.

引用

页码：139 / +

页数：2

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