P. Balazs, B. Laback, and P. Majdak, “Multiple Exponential Sweep Method for Fast Measurement of Head Related Transfer Functions,” in Proc. AES Convention 122, May 2007, Paper 7019. [Online]. Available: https://aes.org/publications/elibrary-page/?id=14004
Balazs P, Laback B, Majdak P. Multiple Exponential Sweep Method for Fast Measurement of Head Related Transfer Functions. In: AES Convention 122. Audio Engineering Society; 2007. Paper 7019. Available from: https://aes.org/publications/elibrary-page/?id=14004
@inproceedings{Balazs2007_14004,
author = {Balazs, Peter and Laback, Bernhard and Majdak, Piotr},
title = {{Multiple Exponential Sweep Method for Fast Measurement of Head Related Transfer Functions}},
booktitle = {AES Convention 122},
note = {Paper 7019},
year = {2007},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=14004}
}
TY - CPAPER
TI - Multiple Exponential Sweep Method for Fast Measurement of Head Related Transfer Functions
AU - Balazs, Peter
AU - Laback, Bernhard
AU - Majdak, Piotr
T2 - AES Convention 122
M1 - Paper 7019
PY - 2007
DA - 2007/05/06
UR - https://aes.org/publications/elibrary-page/?id=14004
PB - Audio Engineering Society
LA - en
AB - Presenting sounds in virtual environments requires filtering of free field signals with head related transfer functions (HRTF). The HRTFs describe the filtering effects of pinna, head, and torso measured in the ear canal of a subject. The measurement of HRTFs for many positions in space is a time-consuming procedure. To speed up the HRTF measurement the multiple exponential sweep method (MESM) was developed. MESM speeds up the measurement by interleaving and overlapping sweeps in an optimized way and retrieves the impulse responses of the measured systems. In this study the MESM and its parameter optimization is described. As an example of an application of MESM, the measurement duration of a HRTF set with 1550 positions is compared to the unoptimized method. Using MESM, the measurement duration could be reduced by a factor of four without a reduction of the signal-to-noise ratio.
ER -