Large-scale virtual acoustics simulation at audio rates using three dimensional finite difference time domain and multiple graphics processing units

Webb, Craig J.; Gray, Alan

doi:10.1121/1.4806738

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…Alternatively, if the purpose is to auralize a signal in a model, the model could be directly excited with the signal to be auralized. However, such broadband simulations are currently not feasible in real-time even with arrays of graphics processing units (GPU), 18 so we will only consider the problem of computing impulse responses or bandlimited impulse responses to be convolved with other signals.…”

Section: A Source Typesmentioning

confidence: 99%

Effects of sources on time-domain finite difference models

Botts

Savioja

2014

The Journal of the Acoustical Society of America

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Recent work on excitation mechanisms in acoustic finite difference models focuses primarily on physical interpretations of observed phenomena. This paper offers an alternative view by examining the properties of models from the perspectives of linear algebra and signal processing. Interpretation of a simulation as matrix exponentiation clarifies the separate roles of sources as boundaries and signals. Boundary conditions modify the matrix and thus its modal structure, and initial conditions or source signals shape the solution, but not the modal structure. Low-frequency artifacts are shown to follow from eigenvalues and eigenvectors of the matrix, and previously reported artifacts are predicted from eigenvalue estimates. The role of source signals is also briefly discussed.

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Section: A Source Typesmentioning

confidence: 99%

Effects of sources on time-domain finite difference models

Botts

Savioja

2014

The Journal of the Acoustical Society of America

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“…These include interactive geometric methods based on ray tracing and beam tracing [Schissler et al 2014;Tsingos et al 2001;Taylor et al 2009;Funkhouser et al 2004] that can simulate approximate diffraction, early reflections, and high-order late reverberation. Furthermore, advancements in computational acoustics solvers [Mehra et al 2013;Raghuvanshi et al 2009;Webb and Gray 2013;Mehra et al 2015] have made it possible to compute highly accurate solutions to the wave equation for large domains, and thereby perform interactive sound propagation.…”

Section: Introductionmentioning

confidence: 99%

Psychoacoustic characterization of propagation effects in virtual environments

Rungta¹,

Rust²,

Morales³

et al. 2016

Proceedings of the ACM Symposium on Applied Perception

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As sound propagation algorithms become faster and more accurate, the question arises as to whether the additional efforts to improve fidelity actually offer perceptual benefits over existing techniques. Could environmental sound effects go the way of music, where lower-fidelity compressed versions are actually favored by listeners? Here we address this issue with two acoustic phenomena that are known to have perceptual effects on humans and that, accordingly, might be expected to heighten their experience with simulated environments. We present two studies comparing listeners' perceptual response to both accurate and approximate algorithms simulating two key acoustic effects: diffraction and reverberation. For each effect, we evaluate whether increased numerical accuracy of a propagation algorithm translates into increased perceptual differentiation in interactive virtual environments. Our results suggest that auditory perception does benefit from the increased accuracy, with subjects showing better perceptual differentiation when experiencing the more accurate rendering method: The diffraction experiment shows a more linearly decaying sound field (with respect to the diffraction angle) for the accurate diffraction method, while the reverberation experiment shows that more accurate reverberation, after modest user experience, results in near-logarithmic response to increasing room volume.

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“…These include interactive geometric methods based on ray tracing and beam tracing [Schissler et al 2014;Tsingos et al 2001;Taylor et al 2009;Funkhouser et al 2004] that can simulate approximate diffraction, early reflections, and high-order late reverberation. Furthermore, advancements in computational acoustics solvers [Mehra et al 2013;Raghuvanshi et al 2009;Webb and Gray 2013; have made it possible to compute highly accurate solutions to the wave equation for large domains, and thereby perform interactive sound propagation.…”

Section: Introductionmentioning

confidence: 99%

Psychoacoustic Characterization of Propagation Effects in Virtual Environments

Rungta

Rust

Morales

et al. 2016

ACM Trans. Appl. Percept.

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As sound propagation algorithms become faster and more accurate, the question arises as to whether the additional efforts to improve fidelity actually offer perceptual benefits over existing techniques. Could environmental sound effects go the way of music, where lower-fidelity compressed versions are actually favored by listeners? Here we address this issue with two acoustic phenomena that are known to have perceptual effects on humans and that, accordingly, might be expected to heighten their experience with simulated environments. We present two studies comparing listeners' perceptual response to both accurate and approximate algorithms simulating two key acoustic effects: diffraction and reverberation. For each effect, we evaluate whether increased numerical accuracy of a propagation algorithm translates into increased perceptual differentiation in interactive virtual environments. Our results suggest that auditory perception does benefit from the increased accuracy, with subjects showing better perceptual differentiation when experiencing the more accurate rendering method: the diffraction experiment shows a more linearly decaying sound field (with respect to the diffraction angle) for the accurate diffraction method, whereas the reverberation experiment shows that more accurate reverberation, after modest user experience, results in near-logarithmic response to increasing room volume.

show abstract

Large-scale virtual acoustics simulation at audio rates using three dimensional finite difference time domain and multiple graphics processing units

Cited by 5 publications

References 4 publications

Effects of sources on time-domain finite difference models

Effects of sources on time-domain finite difference models

Psychoacoustic characterization of propagation effects in virtual environments

Psychoacoustic Characterization of Propagation Effects in Virtual Environments

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