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Adaptive listening room equalization using a scalable filtering structure in thewave domain

机译:在波域中使用可伸缩的滤波结构进行自适应听音室均衡

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Massive multichannel reproduction systems like wave field synthesis (WFS) are potentially well suited to be complemented by listening room equalization (LRE). However, their typically large number of reproduction channels makes this task challenging for both computational and algorithmic reasons. Wave-domain adaptive filtering (WDAF) was proposed earlier and is especially well-suited to adaptive filtering tasks in the context of WFS. In this paper, we propose to generalize the model originally used for WDAF to allow an adaptive LRE for a broader range of reproduction scenarios, while maintaining the advantages of the original approach. The proposed approach is evaluated for filtering structures of varying complexity along with considering the robustness to varying listener positions.
机译:像波场合成(WFS)这样的大型多通道再现系统可能非常适合通过聆听室均衡(LRE)进行补充。然而,由于计算和算法的原因,它们通常具有大量的再现通道,使得该任务具有挑战性。波域自适应滤波(WDAF)是较早提出的,尤其适合于WFS上下文中的自适应滤波任务。在本文中,我们建议对最初用于WDAF的模型进行概括,以允许在更广泛的再现场景中使用自适应LRE,同时保持原始方法的优势。对提出的方法进行了评估,以过滤复杂程度不同的结构,同时考虑了对侦听器位置变化的鲁棒性。

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