• DocumentCode
    1769293
  • Title

    Speech enhancement using normalized cumulant-based adaptive algorithm for transient noise

  • Author

    Sasaoka, Naoto ; Ono, Keishi ; Itoh, Yoshio

  • Author_Institution
    Grad. Sch. of Eng., Tottori Univ., Tottori, Japan
  • fYear
    2014
  • fDate
    1-5 June 2014
  • Firstpage
    2313
  • Lastpage
    2316
  • Abstract
    Speech enhancement has been proposed to reduce noise in noisy speech. However, it is difficult to reduce the transient noise with a narrow band component which is associated with a natural oscillation of the object. In order to solve the problem, we have proposed the speech enhancement based on a linear predictor with 4th order cumulant adaptive algorithm. However, the divergence of the proposed adaptive algorithm occurs due to too large step size. Thus, this paper proposes a normalized 4th order cumulant based adaptive algorithm. The convergence of the adaptive algorithm is guaranteed by the proposed adaptive algorithm.
  • Keywords
    higher order statistics; speech enhancement; 4th order cumulant adaptive algorithm; linear predictor; noisy speech; normalized cumulant- based adaptive algorithm; speech enhancement; transient noise; Adaptive algorithms; Convergence; Signal to noise ratio; Speech; Speech enhancement; Transient analysis; adaptive filter; convergence condition; high order cumulant; speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
  • Conference_Location
    Melbourne VIC
  • Print_ISBN
    978-1-4799-3431-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2014.6865634
  • Filename
    6865634