通过声辐射传递的模态分解（MoD-ART）建模非均匀能量衰减
Modeling nonuniform energy decay through the modal decomposition of acoustic radiance transfer (MoD-ART)
AI总结：
提出声辐射传递模态分解方法（MoD-ART），通过提取能量衰减模态及其与声源和听者的位置关系，高效处理复杂环境下的晚期混响，计算复杂度优于光线追踪并能捕捉多种衰减斜率和颤动回声。
摘要：
在实时交互应用中，当同一环境中存在多个声源和听者时，建模晚期混响是一项具有挑战性的任务。当环境几何复杂且/或具有不均匀的能量吸收（例如耦合体积）时，这一问题尤为突出，因为在这种情况下，晚期混响依赖于声源和听者的位置，因此必须实时适应它们的移动。我们提出了一种解决该任务的新方法，名为声辐射传递的模态分解（MoD-ART），该方法能够高效处理高度复杂的场景。该方法基于几何声学中的声辐射传递方法，从中提取出一组能量衰减模态及其与声源和听者的位置关系。本文描述了MoD-ART的物理和数学意义，强调了其优势及对不同场景的适用性。通过对该方法计算复杂度的分析，我们表明它与光线追踪相比具有很大优势。我们还展示了仿真结果，表明MoD-ART能够捕捉多种衰减斜率和颤动回声。
英文摘要：
Modeling late reverberation in real-time interactive applications is a challenging task when multiple sound sources and listeners are present in the same environment. This is especially problematic when the environment is geometrically complex and/or features uneven energy absorption (e.g. coupled volumes), because in such cases the late reverberation is dependent on the sound sources' and listeners' positions, and therefore must be adapted to their movements in real time. We present a novel approach to the task, named modal decomposition of acoustic radiance transfer (MoD-ART), which can handle highly complex scenarios with efficiency. The approach is based on the geometrical acoustics method of acoustic radiance transfer, from which we extract a set of energy decay modes and their positional relationships with sources and listeners. In this paper, we describe the physical and mathematical significance of MoD-ART, highlighting its advantages and applicability to different scenarios. Through an analysis of the method's computational complexity, we show that it compares very favorably with ray-tracing. We also present simulation results showing that MoD-ART can capture multiple decay slopes and flutter echoes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
