• DocumentCode
    1257644
  • Title

    Bark and ERB bilinear transforms

  • Author

    Smith, Julius O., III ; Abel, Jonathan S.

  • Author_Institution
    Centre for Comput. Res. in Music & Acoust., Stanford Univ., CA, USA
  • Volume
    7
  • Issue
    6
  • fYear
    1999
  • fDate
    11/1/1999 12:00:00 AM
  • Firstpage
    697
  • Lastpage
    708
  • Abstract
    Use of a bilinear conformal map to achieve a frequency warping nearly identical to that of the Bark frequency scale is described. Because the map takes the unit circle to itself, its form is that of the transfer function of a first-order allpass filter. Since it is a first-order map, it preserves the model order of rational systems, making it a valuable frequency warping technique for use in audio filter design. A closed-form weighted-equation-error method is derived that computes the optimal mapping coefficient as a function of sampling rate, and the solution is shown to be generally indistinguishable from the optimal least-squares solution. The optimal Chebyshev mapping is also found to be essentially identical to the optimal least-squares solution. The expression 0.8517[arctan(0.06583fs)]1/2-0.916 is shown to accurately approximate the optimal allpass coefficient as a function of sampling rate fs in kHz for sampling rates greater than 1 kHz. A filter design example is included that illustrates improvements due to carrying out the design over a Bark scale. Corresponding results are also given and compared for approximating the related “equivalent rectangular bandwidth (ERB) scale” of Moore and Glasberg (ACTA Acustica, vo.82, p.335-45, 1996) using a first-order allpass transformation. Due to the higher frequency resolution called for by the ERB scale, particularly at low frequencies, the first-order conformal map is less able to follow the desired mapping, and the error is two to three times greater than the Bark-scale case, depending on the sampling rate
  • Keywords
    all-pass filters; audio signal processing; channel bank filters; error analysis; filtering theory; signal resolution; signal sampling; spectral analysis; transfer functions; transforms; Bark bilinear transform; Bark frequency scale; ERB bilinear transform; audio filter design; audio signal processing; auditory filterbanks; bilinear conformal map; closed-form weighted-equation-error method; equivalent rectangular bandwidth scale; filter design; first-order allpass filter; first-order allpass transformation; first-order map; frequency resolution; frequency warping; model order; optimal Chebyshev mapping; optimal allpass coefficient; optimal least-squares solution; optimal mapping coefficient; psychoacoustic based spectral measures; rational systems; sampling rate; transfer function; unit circle; Bandwidth; Chebyshev approximation; Filters; Frequency; Psychoacoustic models; Psychology; Sampling methods; Signal processing; Signal sampling; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/89.799695
  • Filename
    799695