A Spatial Hearing Model Based on Reconstruction From Wavelet Transform Modulus Maxima

In the research of spatial hearing and realization of virtual auditory space, it is important to accurately model the acoustical characteristics of HRTFs (head-related transfer functions) or HRIRs (head-related impulse responses). In our study, for the sake of modeling HRIRs more truthfully, aiming at HRTFs´ characteristics in time domain, we managed to carry through adaptive non-linear approximation in the field of wavelet transformation and introduced a new spatial hearing approximation model based on translation-invariant a´ trous algorithm and reconstruction from modulus maxima. And the simulation results show that, this is a more effective HRIRs´ model, averagely 7.7 dB better than the traditional PCA (principal component analysis) approximation based on relative MSE criterion