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Related Experiment Video

Updated: Jan 14, 2026

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
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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
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Summary
This summary is machine-generated.

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.

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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.