Author(s): Fu Yang, Murphy Damian
Auralisation of traffic flow noise has become an increasingly popular research area in recent years. Some algorithms that synthesise the noise emitted from a single vehicle pass-by as well as background traffic noise have been proposed, which could potentially be used to develop auralisations of traffic flow scenes. The process of auralisation is desirable as an alternative to established traffic noise monitoring and modelling techniques, which often take the form of long term, average A-weighted sound pressure levels. Whilst these techniques are of use for gathering objective parameters, they are not sufficient for describing the subjective experience of sound. Auralisation therefore offers an alternative approach to environmental sound evaluation providing an immediate aural understanding of an acoustic scene. As there are no standardized methods for traffic noise auralisation, the resultant modelled scenes can vary significantly, depending on the methods and algorithms utilized. This paper gives a comparative overview of the recently published traffic flow auralisation models, specifically focusing on the level of detail required for running these models. Based on the overview, a specific traffic flow auralisation framework is introduced and implemented, and some preliminary investigation is conducted into the plausibility of the resultant auralisations, with a particular focus on issues arising from HRTF processing used to spatialise elements of the synthesised traffic noise.
Name: Mr Yang Fu
Country: United Kingdom