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@PHDTHESIS{Dreier:1016056,
author = {Dreier, Christian Georg},
othercontributors = {Vorländer, Michael and Urban, Peter},
title = {{V}irtual acoustics: synthesis of traffic sound sources},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2025-06710},
pages = {1 Online-Ressource : Illustrationen},
year = {2025},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, Rheinisch-Westfälische Technische
Hochschule Aachen, 2025},
abstract = {Living quality perception in urban environments is closely
linked to acoustical factors. With traffic being the most
dominating source of environmental noise, current research
associates exposure to traffic noise with a variety of
negative effects on human health and well-being. However,
the description of noise by means of equivalent noise
levels, as used in noise mapping, is often not sufficient to
completely characterize the human response to noise, since
population-reported annoyance ratings are more complex and
depend, among other factors, on their psychoacoustical
perception too. Beyond the scope of noise mapping,
auralization is a suitable technique to assess environmental
noise in virtual reality by producing audible sound from
numerical or analytical data. The auralization chain
consists of physics-based models for sound sources, sound
wave propagation and the receiver. The objective of this
thesis is to characterize, model and implement road-traffic
and air-traffic sound sources, striving to achieve a
holistic auditory fit of urban auralizations with the
real-world experience. The characterization of moving sound
sources is technically challenging, since in addition to the
scope of sound source models for noise mapping by means of
adequate spectral representation and directivity patterns,
sound sources for use in virtual acoustics must also take
into account their temporal properties and represent the
operating state of a sound source.This dissertation advances
measurement, modeling and synthesis techniques of traffic
sound sources. It systematically obtains their spatial and
spectro-temporal characteristics, introduces methods for
signal extraction, and provides algorithmic details for
sound synthesis implementation. Additionally, it discusses
the calibrated integration and evaluation of these
techniques within a real-time auralization framework.},
cin = {613510},
ddc = {621.3},
cid = {$I:(DE-82)613510_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2025-06710},
url = {https://publications.rwth-aachen.de/record/1016056},
}
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