Virtual pass-by noise sound synthesis from transfer path analysis data

Alkmim M, Vandernoot G, De Ryck L, Cuenca J, Janssens K, Desmet W. Virtual pass-by noise sound synthesis from transfer path analysis data. In: AES Conference: AES 2022 International Automotive Audio Conference. Audio Engineering Society; 2022. Paper 5. Available from: https://aes.org/publications/elibrary-page/?id=21806

@inproceedings{Alkmim2022_21806,
  author = {Alkmim, Mansour and Vandernoot, Guillaume and De Ryck, Laurent and Cuenca, Jacques and Janssens, Karl and Desmet, Wim},
  title = {{Virtual pass-by noise sound synthesis from transfer path analysis data}},
  booktitle = {AES Conference: AES 2022 International Automotive Audio Conference},
  note = {Paper 5},
  year = {2022},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21806}
}

TY  - CPAPER
TI  - Virtual pass-by noise sound synthesis from transfer path analysis data
AU  - Alkmim, Mansour
AU  - Vandernoot, Guillaume
AU  - De Ryck, Laurent
AU  - Cuenca, Jacques
AU  - Janssens, Karl
AU  - Desmet, Wim
T2  - AES Conference: AES 2022 International Automotive Audio Conference
M1  - Paper 5
PY  - 2022
DA  - 2022/06/06
UR  - https://aes.org/publications/elibrary-page/?id=21806
PB  - Audio Engineering Society
LA  - en
AB  - This work describes the sound synthesis of moving sources for the evaluation of pass-by noise scenarios. The proposed approach is based on transfer path analysis (TPA) from vehicle components to a semi-circular microphone array, enabling a decomposition in terms of spherical harmonics. The source signals are estimated by setting microphone indicators around source locations (engine compartment, tires) and by solving TPA inverse problems. A key feature lies in the simultaneous measurement of the pressure data at indicator and semi-circular array microphones. The spherical harmonic domain allows the sources to be moved smoothly in space, enabling the simulation of any trajectory including the Doppler effect. Finally, the propagated source signal is decoded using an inverse spherical transform to synthesize the binaural output. This approach renders a dynamic spatial audio environment that can be synchronized with a visualization tool. To illustrate the technique, preliminary results of an electric vehicle measured indoors are shown.
ER  -