实时虚拟房间声学的数据驱动反馈延迟网络构建

J. Shen, R. Duraiswami
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引用次数: 3

摘要

对于虚拟和增强现实应用,在不牺牲声音的感知质量的情况下,在用户所处的空间中实时渲染音源是可取的。对于听者来说,渲染的一个感知上很重要的方面是房间环境中声音的后期混响或“回声”。实时产生合理的延迟混响的一种流行方法是使用反馈延迟网络(FDN)。然而,它的使用有一个缺点,即在产生的晚混响变得感知准确之前,它首先必须为特定的房间进行调谐(通常是手动的)。在本文中,我们提出了一种数据驱动的方法来自动生成由一组房间参数描述的任何给定房间的预调谐FDN。当与现有的直接路径和声源早期反射的渲染方法相结合时,我们证明了能够为交互式应用实时渲染声源的可行性。
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Data-driven feedback delay network construction for real-time virtual room acoustics
For virtual and augmented reality applications, it is desirable to render audio sources in the space the user is in, in real-time without sacrificing the perceptual quality of the sound. One aspect of the rendering that is perceptually important for a listener is the late-reverberation, or "echo", of the sound within a room environment. A popular method of generating a plausible late reverberation in realtime is the use of Feedback Delay Networks (FDN). However, its use has the drawback that it first has to be tuned (usually manually) for a particular room before the late-reverberation generated becomes perceptually accurate. In this paper, we propose a data-driven approach to automatically generate a pre-tuned FDN for any given room described by a set of room parameters. When combined with existing method for rendering the direct path and early reflections of a sound source, we demonstrate the feasibility of being able to render audio source in real-time for interactive applications.
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