Low Order Modeling Of Head Related Transfer Functions Based On Spectral Smoothing And Principal Component Analysis
Author(s)
Pec, Michal
Bujacz, Michal
Strumillo, Pawel
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Abstract
The presented paper discusses methods of reducing the order of
HRTF filters. Two alternative methods of HRTF preprocessing
were proposed: wavelet based approximation of HRTF magnitude
spectrum and dimensionality reduction by means of Principal
Component Analysis. Frequency components of HRTFs were
weighted according to the non-linear frequency resolution of human
hearing via transformation to the bark scale. The preprocessed
HRTFs were modeled with either recursive or non-recursive
filters in linear and non-linear frequency domains.
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Date
2013-07
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Text
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Proceedings