• 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