大型多源场景的渐进式感知音频渲染

Tian-ping Chen, Tie Yun, L. Qi
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引用次数: 0

摘要

尽管最近有一些进步,包括层次和声音聚类技术,但由于计算成本高,对于具有数千声源的复杂虚拟场景,感知音频渲染技术仍然是一个很大的挑战。本文首先提出了一种基于空间频率测量的多声源递归聚类生成方法。这种方法可以在消费者3D音频硬件上处理两倍以上的声源数量,而音频质量的下降最小。然后对感知导频进行了研究,指出了增加不同可见声源簇数量的必要性。我们提出了一个健全的基于类别的成本指标使用这一指示。所提出的方法对于在工作站上呈现数千个声源表现良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Progressive Perceptual Audio Rendering for Large Multi-source Scenes
Despite recent advances, including hierarchical and sound clustering techniques, perceptual audio rendering technique remains a high challenge for complex virtual scenes with thousands of sound sources due to its high computation cost. In the paper, we first present a spatial-frequency measurement based approach to generate recursive cluster for multiple sound source. This method can handle more than two times the number of sources on consumer 3D audio hardware, with minimal decrease in audio quality. The perceptual pilot was then studied which indicates its necessity to increase the number of different clusters of visible sound source. We present a sound categories based cost metric using this indication. The proposed method preforms well for rendering thousands of sound sources on a workstation.
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