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:与头有关的转移功能(HRTF)是创造在耳机上亲耳聆听虚拟现实(VR)和扩大现实(AR)应用的体验的必要组成部分。Mevenverse将VR和AR结合起来,以创造暗地数字经验,用户极有可能与近场(NF)的虚拟物体互动。这些物体的HRTF高度个性化,取决于方向和距离。因此,需要大量在NF不同距离进行HRTF测量。使用常规的静态中转HRTF测量方法来获取这些测量结果,对于人类听众来说既费时又烦琐。在本文件中,我们提议针对NF的连续测量系统,并在45秒内有效地捕捉横向平面上的人权工作队。对头部和托尔索相近(HATS)和人类听众进行比较实验,以评估系统的一致性和稳健性。</s>