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Automotive sound field reproduction using deep optimization with spatial domain constraint
Yufan Qian1, Xihong Wu1, Tianshu Qu1
1State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing 100871, China.
The Journal of the Acoustical Society of America
|October 17, 2025
Summary
Spatial Power Map Net improves automotive audio by enhancing sound quality and spatial localization. This learning-based method uses a spatial power map constraint to overcome complex cabin acoustics, delivering clearer, more accurate sound.
Area of Science:
- Acoustics
- Signal Processing
- Machine Learning
Background:
- Automotive audio systems face challenges in achieving high-fidelity sound field reproduction due to complex cabin acoustics.
- Existing methods often require a trade-off between sound quality and spatial localization accuracy.
Purpose of the Study:
- To propose a novel learning-based method, Spatial Power Map Net, for enhanced sound field reproduction in automotive environments.
- To improve both sound quality and spatial localization simultaneously within complex acoustic conditions.
Main Methods:
- Introduction of a spatial power map constraint derived from beamforming to characterize angular energy distribution.
- Integration of the constraint into a multi-channel equalization framework for improved sound quality under reverberation.
- Application of deep optimization using neural networks to solve non-convex filter design problems.
Main Results:
- Objective and subjective evaluations confirmed enhanced sound quality and improved spatial localization in automotive cabins.
- The spatial power map constraint effectively guided energy for better spatial accuracy.
- The method demonstrated effectiveness in improving sound quality under reverberant conditions.
Conclusions:
- Spatial Power Map Net offers a robust solution for high-fidelity sound field reproduction in challenging automotive acoustic environments.
- The proposed method successfully balances and enhances both sound quality and spatial localization.
- Further analysis explored the impact of audio materials and source arrival angles on performance.
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