VR-PTOLEMAIC：用于空间音频算法感知测试的虚拟环境
VR-PTOLEMAIC: A Virtual Environment for the Perceptual Testing of Spatial Audio Algorithms
AI总结：
本研究提出集成MUSHRA方法的VR-PTOLEMAIC虚拟现实评估系统，支持在25个模拟聆听位评估空间音频算法，测试验证其能有效支撑评估且用户体验良好。
摘要：
空间音频算法的感知评估是沉浸式音频应用开发中的重要步骤，可确保合成声场在聆听体验、空间感知和听觉真实感方面达到质量标准。为支撑这类评估，虚拟现实可通过提供沉浸式交互测试环境成为强大平台。本文提出VR-PTOLEMAIC，一款专为评估空间音频算法设计的虚拟现实评估系统。该系统将MUSHRA（带隐藏参考和锚点的多刺激测试）评估方法集成到虚拟环境中。具体而言，用户可在虚拟还原的研讨室的25个模拟聆听位置中任选站位，针对实际录制的二阶Ambisonic房间脉冲响应（均与各类声源信号卷积）评估模拟声学响应。我们通过大规模测试活动评估了该框架的可用性，测试中要求评估人员对比多种声场重建算法的重建能力。结果表明，该VR平台可有效支撑空间音频算法评估，用户体验和沉浸感普遍获得正面反馈。
英文摘要：
The perceptual evaluation of spatial audio algorithms is an important step in the development of immersive audio applications, as it ensures that synthesized sound fields meet quality standards in terms of listening experience, spatial perception and auditory realism. To support these evaluations, virtual reality can offer a powerful platform by providing immersive and interactive testing environments. In this paper, we present VR-PTOLEMAIC, a virtual reality evaluation system designed for assessing spatial audio algorithms. The system implements the MUSHRA (MUlti-Stimulus test with Hidden Reference and Anchor) evaluation methodology into a virtual environment. In particular, users can position themselves in each of the 25 simulated listening positions of a virtually recreated seminar room and evaluate simulated acoustic responses with respect to the actually recorded second-order ambisonic room impulse responses, all convolved with various source signals. We evaluated the usability of the proposed framework through an extensive testing campaign in which assessors were asked to compare the reconstruction capabilities of various sound field reconstruction algorithms. Results show that the VR platform effectively supports the assessment of spatial audio algorithms, with generally positive feedback on user experience and immersivity.
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