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Conference Paper

Wavelet-based Spectral Smoothing for Head-Related Transfer Function Filter Design

Authors: Hacihabiboglu, Huseyin; Gunel, Banu; Murtagh, Fionn

AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio · Paper 000246 · June 2002

Abstract

Three wavelet-based spectral smoothing techniques are presented in this paper as a pre-processing stage for head-related transfer function (HRTF) filter design. These wavelet-based methods include wavelet denoising, wavelet approximation, and redundant wavelet transform. These methods are used with time-domain parametric filter design methods to reduce the order of IIR filters which is useful for real-time implementation of immersive audio systems. Results of a subjective listening test are then presented in order to justify the perceptual validity of the investigated smoothing methods. Results show that wavelet based spectral smoothing methods are beneficial in reducing the filter order and increasing the perception of localization without introducing any noticeable effect on timbre.

Details

Published in
AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio
Paper number
000246
Publication date
June 6, 2002
Session subject
Virtual, Synthetic and Entertainment Audio
Affiliation
Sonic Arts Research Centre (SARC), Queen’s University Belfast, Belfast, UK (See document for exact affiliation information.)
Type
Conference Paper