Traffic flow auralisation based on single vehicle pass-by noise synthesis

TY - GEN

T1 - Traffic flow auralisation based on single vehicle pass-by noise synthesis

AU - Fu, Yang

AU - Murphy, Damian

AU - Southern, Alex

N1 - Funding Information: This study is supported and funded by University of York - China Scholarships Council (CSC) joint research scholarships. We thank our colleagues in Audiolab who reviewed this work and assisted the research. Publisher Copyright: © 2019 Proceedings of the International Congress on Acoustics. All rights reserved.

PY - 2019/9/9

Y1 - 2019/9/9

N2 - Research into the auralisation of road traffic noise has drawn more attention in the recent years, as it can provide a more direct and immersive experience with which to communicate the implication of major urban design decisions with city planners and the public. Some synthesis models of single vehicle pass-by noise, and methods for outdoor sound propagation modelling have been proposed, which may be integrated for auralisation of traffic flow scenes. In this paper, a framework for traffic flow auralisation is presented. The synthesis model is composed of multiple single vehicle pass-by examples, based on tyre noise and propulsion sound synthesis. A first-order image source method is implemented, as a first approximation to represent sound propagation across a local region of a wider urban environment. The resulting plausibility of the proposed traffic flow auralisation model under different traffic flow scenes are under assessment using subjective listening tests.

AB - Research into the auralisation of road traffic noise has drawn more attention in the recent years, as it can provide a more direct and immersive experience with which to communicate the implication of major urban design decisions with city planners and the public. Some synthesis models of single vehicle pass-by noise, and methods for outdoor sound propagation modelling have been proposed, which may be integrated for auralisation of traffic flow scenes. In this paper, a framework for traffic flow auralisation is presented. The synthesis model is composed of multiple single vehicle pass-by examples, based on tyre noise and propulsion sound synthesis. A first-order image source method is implemented, as a first approximation to represent sound propagation across a local region of a wider urban environment. The resulting plausibility of the proposed traffic flow auralisation model under different traffic flow scenes are under assessment using subjective listening tests.

KW - Auralisation

KW - Procedural Audio

KW - Traffic Flow

UR - http://www.scopus.com/inward/record.url?scp=85099329382&partnerID=8YFLogxK

U2 - 10.18154/RWTH-CONV-239645

DO - 10.18154/RWTH-CONV-239645

M3 - Conference contribution

AN - SCOPUS:85099329382

T3 - Proceedings of the International Congress on Acoustics

SP - 1705

EP - 1712

BT - Proceedings of the 23rd International Congress on Acoustics

A2 - Ochmann, Martin

A2 - Michael, Vorlander

A2 - Fels, Janina

PB - International Commission for Acoustics (ICA)

T2 - 23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019

Y2 - 9 September 2019 through 23 September 2019

ER -