• DocumentCode
    781731
  • Title

    Low-Delay Nonuniform Pseudo-QMF Banks With Application to Speech Enhancement

  • Author

    Deng, Ying ; Mathews, V.John ; Farhang-Boroujeny, Behrouz

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Utah Univ., Salt Lake City, UT
  • Volume
    55
  • Issue
    5
  • fYear
    2007
  • fDate
    5/1/2007 12:00:00 AM
  • Firstpage
    2110
  • Lastpage
    2121
  • Abstract
    This paper presents a method for designing low-delay nonuniform pseudo quadrature mirror filter (QMF) banks. This method is motivated by the work of Li, Nguyen, and Tantaratana, in which the nonuniform filter bank is realized by combining an appropriate number of adjacent sub-bands of a uniform pseudo-QMF bank. In prior work, the prototype filter of the uniform pseudo-QMF bank was constrained to have linear phase and the overall delay associated with the filter bank was often unacceptably large for filter banks with a large number of sub-bands. This paper proposes a pseudo-QMF filter bank design technique that significantly reduces the delay by relaxing the linear phase constraints. An example in which an oversampled critical-band nonuniform filter bank is designed and applied to a two-state modeling speech enhancement system is presented in this paper. Comparison of the performance of this system to competing methods employing tree-structured, linear phase multiresolution analysis indicates that the approach described in this paper strikes a good balance between system performance and low delay
  • Keywords
    channel bank filters; speech enhancement; trees (mathematics); linear phase constraints; linear phase multiresolution analysis; low-delay nonuniform pseudo-QMF banks; oversampled critical-band nonuniform filter bank; quadrature mirror filter banks; speech enhancement; tree-structured analysis; Delay; Design methodology; Digital filters; Filter bank; Frequency; Mirrors; Multiresolution analysis; Prototypes; Speech enhancement; Wavelet packets; Low-delay nonuniform filter bank design; multiresolution analysis; speech enhancement;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2007.892707
  • Filename
    4156376