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
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