@conference {37029,
	title = {Automotive acoustic channel equalization method using convex optimization in modal domain},
	booktitle = {the AES 156th Convention},
	year = {2024},
	month = {15-17 June 2024},
	pages = {11696},
	address = {Madrid, Spain},
	abstract = {Automotive audio systems often face sub-optimal sound quality due to the intricate acoustic properties of car cabins. Acoustic channel equalization methods are generally employed to improve sound reproduction quality in such environments. In this paper, we propose an acoustic channel equalization method using convex optimization in the modal domain. The modal domain representation is used to model the whole sound field to be equalized. Besides integrating it into the convex formulation of the acoustic channel reshaping problem, to further control the prering artifacts, the temporal window function modified according to the backward masking effect of the human auditory system is used during equalizer design. Objective and subjective experiments in a real automotive cabin proved that the proposed method enhances spatial robustness and avoids the audible prering artifacts.},
	author = {Qian, Yufan and Tianshu Qu and Tang, Wei and Chen, Shiyu and Shen, Weihua and Guo, Xiang and Chai, Hua}
}
