• DocumentCode
    2759923
  • Title

    Decomposition of Head-Related Transfer Functions Based on the Hankel Total Least Squares Method

  • Author

    Faller, Kenneth John, II ; Barreto, Armando ; Adjouadi, Malek

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL
  • fYear
    2009
  • fDate
    4-7 Jan. 2009
  • Firstpage
    161
  • Lastpage
    166
  • Abstract
    Head-related transfer functions (HRTFs) are used to achieve binaural sound spatialization. Originally, sound spatialization techniques that utilize HRTFs require an intended listener to undergo lengthy measurements with specialized equipment. Unfortunately, the alternative generic HRTFs increase localization errors especially in elevation. Another option that we are pursuing is to customize HRTFs based on the physical measurements of a listener such that their performance is equivalent to measured HRTFs. However, an initial step of decomposing measured HRTFs in order to reveal the parameters of the required structural pinna model must be performed. A new approach for the decomposition of HRTFs is suggested and evaluated on simulated examples. Finally, the method is used to decompose actual HRTFs and the results are evaluated.
  • Keywords
    Hankel matrices; Hankel transforms; audio signal processing; transfer function matrices; Hankel total least squares method; binaural sound spatialization; decomposition; head related transfer functions; Acoustic reflection; Anechoic chambers; Band pass filters; Delay; Digital signal processing; Ear; Least squares methods; Loudspeakers; Parameter estimation; Transfer functions; Damped and Delayed Sinusoidals (DDS); Hankel Total Least Squares (HTLS); Head-Related Transfer Functions (HRTFs); Signal Decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th
  • Conference_Location
    Marco Island, FL
  • Print_ISBN
    978-1-4244-3677-4
  • Electronic_ISBN
    978-1-4244-3677-4
  • Type

    conf

  • DOI
    10.1109/DSP.2009.4785914
  • Filename
    4785914