Auralization model for the perceptual evaluation of tyre–road noise
Journal article, 2017

© 2017 Elsevier Ltd Due to improvements in combustion-engines and use of electric-engines for cars, tyre noise has become the prominent noise source also at lower speeds. Models exist that simulate the noise produced by a rolling tyre, as do models that auralize different traffic situations from basic data. In this paper, a novel auralization method is introduced, with the purpose to enable synthesis of useful car pass-by sound signals for various situations. The method is based on an established model for tyre noise levels (SPERoN) that is combined with a validated auralization tool (LISTEN). In the LISTEN approach, source signals for tyre–road interaction and propulsion are produced from data based on recorded pass-by sounds. In the combined model, the tyre–road interaction data is shaped by the spectra estimated in SPERoN and synthesized back into a pass-by signal. The combined model is made to agree spectrally with measurements for a receiver at 7.5 m distance. Psychoacoustic judgments were used to compare the modelled signals with recorded signals, and the pass-by sounds for a given listener position showed promising quality and accuracy with respect to perceived pleasantness.


Jens Forssén

Chalmers, Civil and Environmental Engineering, Applied Acoustics

Alice Hoffmann

Chalmers, Civil and Environmental Engineering, Applied Acoustics, Vibroacoustics

Wolfgang Kropp

Chalmers, Civil and Environmental Engineering, Applied Acoustics, Vibroacoustics

Applied Acoustics

0003-682X (ISSN)

Vol. 132 232-240

Subject Categories

Other Civil Engineering



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