Head-related transfer function (HRTF) is an essential component to create an immersive listening experience over headphones for virtual reality (VR) and augmented reality (AR) applications. Metaverse combines VR and AR to create immersive digital experiences, and users are very likely to interact with virtual objects in the near-field (NF). The HRTFs of such objects are highly individualized and dependent on directions and distances. Hence, a significant number of HRTF measurements at different distances in the NF would be needed. Using conventional static stop-and-go HRTF measurement methods to acquire these measurements would be time-consuming and tedious for human listeners. In this paper, we propose a continuous measurement system targeted for the NF, and efficiently capturing HRTFs in the horizontal plane within 45 secs. Comparative experiments are performed on head and torso similar (HATS) and human listeners to evaluate system consistency and robustness.

翻译：头相关传递函数（HRTF）是虚拟现实（VR）和增强现实（AR）应用中通过耳机营造沉浸式听觉体验的关键组成部分。元宇宙融合了VR与AR技术，致力于创建沉浸式数字体验，用户极有可能与近场（NF）中的虚拟物体进行交互。这些虚拟物体的HRTF具有高度个性化特征，且与方向和距离密切相关。因此，需要在近场中针对不同距离进行大量HRTF测量。若采用传统的静态“停-走”式HRTF测量方法获取这些数据，对人类受试者而言既耗时又繁琐。本文提出一种面向近场的连续测量系统，可在45秒内高效捕获水平面上的HRTF。我们基于头部与躯干模拟器（HATS）及人类受试者开展对比实验，以评估系统的一致性和稳健性。