auralisation; acoustics; noise control; noise; environmental noise auralisation; virtual acoustical environment; road traffic noise synthesizer; railway noise synthesizer
Pieren Reto, Heutschi Kurt, Wunderli Jean Marc, Snellen Mirjam, Simons Dick G. (2017), Auralization of railway noise: Emission synthesis of rolling and impact noise, in Applied Acoustics
, 127, 34-45.
Pieren Reto, Bütler Thomas, Heutschi Kurt (2016), Auralization of Accelerating Passenger Cars Using Spectral Modeling Synthesis, in Applied Sciences
, 6(5), 1-27.
Pieren Reto, BütlerThomas, Heutschi Kurt (2015), Auralisation of accelerating passenger cars, in EURONOISE 2015
, Maastricht, HollandEAA; ABAV; NAG, Maastricht, Holland.
Pieren Reto, Wunderli Jean Marc, Zemp Armin, Sohr Sebastian, Heutschi Kurt, Auralisation of Railway Noise: A Concept for the Emission Synthesis of Rolling and Impact Noise, in Inter-Noise 2016
, HamburgDeutsche Gesellschaft für Akustik, DEGA, Berlin.
Noise caused by traffic is a relevant health factor in urban environments, along major transport routes and in the vicinity of airports. Noise - in contrast to sound - can principally not be measured but has to be assessed. For the most relevant noise sources, objective quantities have been derived that correlate with the annoyance as reported by people. However these correlations are usually weak. One reason for this is the fact that the describing quantities used so far represent the acoustic situation only in a very simplified manner. A method to further investigate the signal properties relevant to noise is to conduct listening experiments where differ-ent stimuli are presented to test persons. Relying on audio recordings allows for little variation of different signal aspects only. A more versatile method with a much higher degree of freedom as well as full control of the influencing signal parameters is to synthesize the stimuli and thus to auralise an acoustical environment. While in use for quite some time in room acoustics, the application to environmental noise has been discov-ered only recently. In this research project a traffic noise auralisator shall be developed that covers road traf-fic and railway noise. It will form the basis for future experiments to refine the characterization of noise. The key element is a synthesizer that simulates the acoustical emission of a great many of different vehicles, op-erating on wide variety of surfaces and under different operating conditions. To obtain the corresponding steering parameters, a hierarchic synthesizer structure with core parameters and global parameters is pro-posed. While the core parameters will be determined with controlled experiments for a small number of ve-hicles, the global parameters are measured for a large vehicle fleet. Hereby a measurement strategy with suppression of the effect of neighbor vehicles is developed. The method will then be applied to freely flowing traffic. The emission synthesizer will be complemented by a time variable filter to simulate the sound propa-gation effects from the moving sources to a receiver position. This propagation filter is already available from the simulation of wind turbine noise. The completed auralisation tool will finally be tested in comparison with real recordings. This validation step will help to assess the quality of the auralisation and yield an answer to the central research question, whether a traffic noise soundscape can be generated synthetically with sufficient accuracy. Hereby the listening impression reported by test persons should not differ significantly between real-world recordings and the synthesized sounds.