• DocumentCode
    1798676
  • Title

    Speech enhancement based on combination of wiener filter and subspace filter

  • Author

    Xia Yousheng ; Huang Jianwen

  • Author_Institution
    Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
  • fYear
    2014
  • fDate
    7-9 July 2014
  • Firstpage
    459
  • Lastpage
    463
  • Abstract
    This paper propose a novel multi-channel speech enhancement method by combining the wiener filtering and subspace filtering with a convex combinational coefficient. Because of using both the advantage in noise reduction of the subspace speech enhancement technology and the stable characteristic of the Wiener filtering technology, the proposed multi-channel speech enhancement method has a better performance in robustly removing colored noise from noisy speech signals. Simulation examples confirm that under different colored noise, the proposed multi-channel speech enhancement method can obtain better speech recovery results than the traditional subspace multi-channel speech enhancement method and the multi-channel Wiener filter speech enhancement method.
  • Keywords
    Wiener filters; combinatorial mathematics; convex programming; filtering theory; signal denoising; speech enhancement; Wiener filtering technology; colored noise removal; convex combinational coefficient; multichannel speech enhancement method; noise reduction; noisy speech signals; subspace filtering; subspace speech enhancement technology; Microphones; Noise; Noise measurement; Speech; Speech enhancement; Wiener filters; colored noise; combinational filter; multi-channel speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-3902-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2014.7009836
  • Filename
    7009836