Auralization model for the perceptual evaluation of tyre–road noise
Artikel i vetenskaplig tidskrift, 2018

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.

modelling rolling noise

tyre-road noise



Jens Forssén

Chalmers, Arkitektur och samhällsbyggnadsteknik, Teknisk akustik

Alice Hoffmann

Chalmers, Arkitektur och samhällsbyggnadsteknik, Teknisk akustik

Wolfgang Kropp

Chalmers, Arkitektur och samhällsbyggnadsteknik, Teknisk akustik

Applied Acoustics

0003-682X (ISSN) 1872910x (eISSN)

Vol. 132 232-242



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