2019
DOI: 10.3813/aaa.919321
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Auralization of a Car Pass-By Using Impulse Responses Computed with a Wave-Based Method

Abstract: DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal… Show more

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Cited by 6 publications
(2 citation statements)
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“…A different approach to the auralisation of a pass-by vehicle event is described by Georgiou et al [GHK19;Men+18]. In contrast to most realisations that employ GA models, binaural propagation Impulse Responses (IRs) at distinct locations sampled along a pre-determined trajectory were first measured and then simulated by a two-dimensional, pseudo-spectral, time-domain method for low frequencies.…”
Section: Simulation and Auralisationmentioning
confidence: 99%
“…A different approach to the auralisation of a pass-by vehicle event is described by Georgiou et al [GHK19;Men+18]. In contrast to most realisations that employ GA models, binaural propagation Impulse Responses (IRs) at distinct locations sampled along a pre-determined trajectory were first measured and then simulated by a two-dimensional, pseudo-spectral, time-domain method for low frequencies.…”
Section: Simulation and Auralisationmentioning
confidence: 99%
“…A poor synthesis reconstruction can drastically affect any perceptual cues from the audio and affects the sound quality assessments. Many attempts of the accurate synthesis of a traffic event have been proposed using simulation techniques such as time-domain finite differences [6], pseudo-spectral methods [7] and binaural impulse responses [8]. In the first two, the time-domain simulations are still rather simplistic and computationally expensive for realtime applications.…”
Section: Introductionmentioning
confidence: 99%