Improved Particle Swarm Optimization for Dual-Channel Speech Enhancement

被引:4
|
作者
Asl, Laleh Badri [1 ]
Nezhad, Vahid Majid [2 ]
机构
[1] Univ Tabriz, Fac Elect & Comp Engn, Tabriz, Iran
[2] Islamic Azad Univ, Fac Comp Engn, Shabestar, Iran
关键词
Speech Enhancement; Standard Particle Swarm Optimization (SPSO); Improved Particle Swarm Optimization (IPSO);
D O I
10.1109/ICSAP.2010.30
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
This paper, proposes an improved particle swarm optimization algorithm for speech enhancement. In the proposed algorithm, the population is divided into two subgroups. One of the subgroups searches the space globally, whereas the other one explores the problem space locally. The proposed algorithm surpasses the standard PSO, by stimulating the inactive particles and local search around the global best. Experimental results indicate that improved particle swarm optimization (IPSO) outperforms the standard particle swarm optimization (SPSO), and gradient-based NLMS algorithm in dual-channel speech enhancement applications.
引用
收藏
页码:13 / 17
页数:5
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