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

Author

Zhang, Jie ; Wu, Zhenyang

Author_Institution

Dept. of Radio Eng., Southeast Univ., Nanjing

Volume

5

fYear

2006

fDate

14-19 May 2006

Abstract

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

Keywords

acoustic signal processing; approximation theory; hearing; signal reconstruction; wavelet transforms; acoustical characteristics; adaptive nonlinear approximation; head-related impulse responses; head-related transfer functions; spatial hearing model; trous algorithm; virtual auditory space; wavelet transform modulus maxima; Acoustical engineering; Approximation algorithms; Auditory system; Filters; Position measurement; Principal component analysis; Signal analysis; Transfer functions; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1661314

Filename

1661314