H. Hacihabiboglu, B. Gunel, and F. Murtagh, “Wavelet-based Spectral Smoothing for Head-Related Transfer Function Filter Design,” in Proc. AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio, Jun. 2002, Paper 000246. [Online]. Available: https://aes.org/publications/elibrary-page/?id=11136
Hacihabiboglu H, Gunel B, Murtagh F. Wavelet-based Spectral Smoothing for Head-Related Transfer Function Filter Design. In: AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio. Audio Engineering Society; 2002. Paper 000246. Available from: https://aes.org/publications/elibrary-page/?id=11136
@inproceedings{Hacihabiboglu2002_11136,
author = {Hacihabiboglu, Huseyin and Gunel, Banu and Murtagh, Fionn},
title = {{Wavelet-based Spectral Smoothing for Head-Related Transfer Function Filter Design}},
booktitle = {AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio},
note = {Paper 000246},
year = {2002},
month = jun,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=11136}
}
TY - CPAPER
TI - Wavelet-based Spectral Smoothing for Head-Related Transfer Function Filter Design
AU - Hacihabiboglu, Huseyin
AU - Gunel, Banu
AU - Murtagh, Fionn
T2 - AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio
M1 - Paper 000246
PY - 2002
DA - 2002/06/06
UR - https://aes.org/publications/elibrary-page/?id=11136
PB - Audio Engineering Society
LA - en
AB - 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.
ER -