Perceptual validation of auralized heavy-duty vehicle
Invited paper
Chalmers University of Technology
Tuesday 2 june, 2015, 09:20 - 09:40
0.3 Copenhagen (49)
Abstract:
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.