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
Link To Document :
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