DocumentCode
2283063
Title
Speech Enhancement Using Particle Swarm Optimization Techniques
Author
Asl, Laleh Badri ; Nezhad, Vahid Majid
Author_Institution
Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran
Volume
3
fYear
2010
fDate
13-14 March 2010
Firstpage
441
Lastpage
444
Abstract
This paper introduces the application of particle Swarm optimization techniques in speech enhancement structures. Because of the simple conception, the quick velocity of convergence and easy implementation, Particle swarm optimization (PSO) is used as an effective method in a wide variety of engineering problems. An improved PSO algorithm, called the Modified PSO (MPSO) algorithm, can find optimal or closer-to optimal solution, and has faster search speed. In this paper, we use PSO and MPSO algorithms for speech enhancement and compare the results. Experimental results show that MPSO algorithm outperforms the PSO algorithm in a sense of SNR improvement.
Keywords
adaptive filters; particle swarm optimisation; speech enhancement; MPSO algorithms; engineering problems; modified PSO algorithm; optimal solution; particle swarm optimization; search speed; speech enhancement structures; Adaptive filters; Automation; Electric variables measurement; Filtering algorithms; Least squares approximation; Mechatronics; Particle measurements; Particle swarm optimization; Speech enhancement; Stochastic processes; Modified Particle Swarm Optimization (MPSO); Particle Swarm Optimization (PSO); speech enhancemen;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location
Changsha City
Print_ISBN
978-1-4244-5001-5
Electronic_ISBN
978-1-4244-5739-7
Type
conf
DOI
10.1109/ICMTMA.2010.510
Filename
5458895
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