Perceptual validation of auralized heavy-duty vehicle
Chalmers University of Technology
Tuesday 2 june, 2015, 09:20 - 09:40
0.3 Copenhagen (49)
Auralization is a valuable tool when evaluating the effect of traffic noise on people. The present study focuses on the validation of auralization of heavy-duty vehicles with a diesel engine. To capture the characteristics of the diesel engine a granular approach has been used. This method uses short time pieces of recorded signals that are later combined to synthesize the engine sound. The granular approach has proven to be successful in a previous validation test examining two microphone positions around a still- standing truck, i.e. two different sets of grains. In the present study the same approach was used to achieve pass-by noise at an artificial listening position alongside a Volvo truck. The aim of the study was to determine the number of interpolated sets of grains needed, in order to create a perceptually valid auralized signal. A perceptually valid signal would preferably be indistinguishable from a real recording or at least render similar perceptual responses. To evaluate the signals on these two levels of validity 20 participants conducted a two-part experiment. The experiment consisted of 15 auralized signals generated for three different listening positions using five different sets of grains. In the first part the participants conducted a discrimination task comparing the auralized signals against recordings. In the second part the participants rated the sounds using semantic differentials for a set of psychoacoustic and emotional parameters.
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