Physically informed car engine sound synthesis for virtual and augmented environments

摘要

The richness of crossmodal feedback in car driving makes it an engaging,udcomplex, yet “natural” activity. Audition plays an importantudrole, as the engine sound, perceived in the cabin, conveys relevantudcues about the vehicle motion. In this paper, we introduce audprocedural and physically informed model for synthetic combustionudengine sound, as an effective, flexible and computationally efficientudalternative to sample-based and analysis/resynthesis approaches.udThe sound model, currently being developed as Max/MSP external,udhas been integrated in GeneCars, a driving simulator environmentudfor industrial sound design, and SkAT Studio, a demonstrationudframework for the rapid creation of audio processing workflows.