Auralization of tyre/road noise based on the SPERoN prediction tool
Paper i proceeding, 2013
The SPERoN prediction tool allows to simulate pass-by spectra for different tyre/road combinations. The goal of this work is to use such a prediction for auralising pass-by sounds, which later on can be used in listening tests. For this a previously developed methodology is applied where recorded sounds of pass-by situations have been recorded monaurally. The recoded signals are then converted to a source signal for the engine and the tyre/road interaction. By this it is possible to shape the tyre/road source term by calculated spectra and synthesize the signal again to a pass-by signal. With the help of psychoacoustic judgments, the modelled signals were compared with recorded signals on a test field with the same tires, roads and distances in order to see how well the auralised signal matches the real signals in perception.