TY - GEN
T1 - Objective Evaluation Metrics for Spatial Perception of Automotive Audio System
AU - Li, Zhiyu
AU - Zhang, Yupei
AU - Wang, Jing
AU - Yue, Xinwen
AU - Zhao, Shenghui
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The automotive audio system is considered as a new trend in the field of audio industry. Acoustic environment of cabin is a challenging problem, which makes tuning crucial. Traditionally, tuning has relied on subjective listening by audio engineers, the process of which can last for several months. This study proposes an objective evaluation method for spatial audio in vehicles, which utilizes acoustic measurement and signal processing techniques to evaluate the spatial perception of automotive audio accurately. This method requires minimal number of equipment and costs few measurement time, thus reducing the workload of audio engineers. Subjective experiments have validated that this method effectively reflects subjective auditory experiences.
AB - The automotive audio system is considered as a new trend in the field of audio industry. Acoustic environment of cabin is a challenging problem, which makes tuning crucial. Traditionally, tuning has relied on subjective listening by audio engineers, the process of which can last for several months. This study proposes an objective evaluation method for spatial audio in vehicles, which utilizes acoustic measurement and signal processing techniques to evaluate the spatial perception of automotive audio accurately. This method requires minimal number of equipment and costs few measurement time, thus reducing the workload of audio engineers. Subjective experiments have validated that this method effectively reflects subjective auditory experiences.
KW - Acoustic Measurement
KW - Automotive Audio System
KW - Objective Evaluation
KW - Spatial Perception
UR - http://www.scopus.com/inward/record.url?scp=85179013824&partnerID=8YFLogxK
U2 - 10.1109/ICCSI58851.2023.10303804
DO - 10.1109/ICCSI58851.2023.10303804
M3 - Conference contribution
AN - SCOPUS:85179013824
T3 - ICCSI 2023 - 2023 International Conference on Cyber-Physical Social Intelligence
SP - 321
EP - 326
BT - ICCSI 2023 - 2023 International Conference on Cyber-Physical Social Intelligence
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Cyber-Physical Social Intelligence, ICCSI 2023
Y2 - 20 October 2023 through 23 October 2023
ER -