W. Gallian and F. M. Fazi, “Application of the Multi-Objective Optimisation Framework to the Creation of Personal Sound Zone,” in Proc. AES Convention 152, May 2022, Paper 10613. [Online]. Available: https://aes.org/publications/elibrary-page/?id=21726
Gallian W, Fazi FM. Application of the Multi-Objective Optimisation Framework to the Creation of Personal Sound Zone. In: AES Convention 152. Audio Engineering Society; 2022. Paper 10613. Available from: https://aes.org/publications/elibrary-page/?id=21726
@inproceedings{Gallian2022_21726,
author = {Gallian, Wilfried and Fazi, Filippo Maria},
title = {{Application of the Multi-Objective Optimisation Framework to the Creation of Personal Sound Zone}},
booktitle = {AES Convention 152},
note = {Paper 10613},
year = {2022},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=21726}
}
TY - CPAPER
TI - Application of the Multi-Objective Optimisation Framework to the Creation of Personal Sound Zone
AU - Gallian, Wilfried
AU - Fazi, Filippo Maria
T2 - AES Convention 152
M1 - Paper 10613
PY - 2022
DA - 2022/05/06
UR - https://aes.org/publications/elibrary-page/?id=21726
PB - Audio Engineering Society
LA - en
AB - The main methods used to create multiple personal sound zones are optimisation processes involving conflicting objective functions. The two most common methods, Acoustic Contrast Control (ACC) and Pressure Matching (PM), aim to simultaneously optimise various objectives: the system performance in terms of reproduction error, the amount of acoustic energy in the so-called bright zones and dark zones, and the amount of energy required by the system to obtain the desired performance (the array effort). In this work, the general framework of multi-objective optimisation and the main techniques employed to solve this class of problems are firstly introduced. Then, it is shown that the most renowned methods developed in the last 40 years in the field of personal sound zone systems are special cases of theses general multi-objective techniques.
ER -