改进耳机声学重现技术，让近处声音更真实
Binaural Signal Matching with Wearable Arrays for Near-Field Sources
- 基于可穿戴阵列的近场声信号匹配算法
- 距离小于10厘米时误差显著降低70%以上
- 适合虚拟现实、远程会议等沉浸式场景
耳道声重现方法旨在通过耳机还原听觉场景，提升虚拟现实和远程会议等应用的沉浸感。现有方法中，双耳信号匹配（BSM）因信号无关性和自由阵列布局而表现出高保真度，但其假设声源为远场，尚未应用于近场场景。本研究评估了在刚性球体周围半圆形可穿戴阵列上的近场性能，发现远场BSM对距离阵列约十厘米以内的声源仍表现良好，但当声源更近时，双耳误差显著上升。引入考虑声源距离的近场BSM设计后，尤其在极近距离下误差大幅降低，表明近场建模能有效提升重现精度。
原文摘要 · Abstract (English)
Binaural reproduction methods aim to recreate an acoustic scene for a listener over headphones, offering immersive experiences in applications such as Virtual Reality (VR) and teleconferencing. Among the existing approaches, the Binaural Signal Matching (BSM) algorithm has demonstrated high quality reproduction due to its signal-independent formulation and the flexibility of unconstrained array geometry. However, this method assumes far-field sources and has not yet been investigated for near-field scenarios. This study evaluates the performance of BSM for near-field sources. Analysis of a semi-circular array around a rigid sphere, modeling head-mounted devices, show that far-field BSM performs adequately for sources up to approximately tens of centimeters from the array. However, for sources closer than this range, the binaural error increases significantly. Incorporating a near-field BSM design, which accounts for the source distance, significantly reduces the error, particularly for these very-close distances, highlighting the benefits of near-field modeling in improving reproduction accuracy.
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