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 simulator (HATS) and human listeners to evaluate system consistency and robustness.

翻译：头相关传输函数（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VR与AR技术构建沉浸式数字体验，用户极有可能在近场（NF）与虚拟物体进行交互。此类物体的HRTF具有高度个体化特性，且依赖于方向和距离参数。因此，需要在近场不同距离条件下获取大量HRTF测量数据。采用传统静态步进式HRTF测量方法采集这些数据将耗费大量时间，且对受试者而言过程繁琐。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内的HRTF数据。我们基于头及躯干模拟器（HATS）与真人受试者开展对比实验，以评估系统的一致性与鲁棒性。