Low Order Modeling Of Head Related Transfer Functions Based On Spectral Smoothing And Principal Component Analysis
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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.