Modern vehicles demand better acoustic performance
Vehicle interiors are often defined before audio teams can demonstrate how design choices affect sound. Without comparable simulation tools, engineers struggle to influence cabin geometry, materials, and component placement, leaving them to compensate for acoustic compromises once the design is fixed.
Relying on physical prototypes makes those compromises costly to uncover and difficult to resolve. Audio teams need a way to evaluate alternatives early and build confidence in performance across real world listening conditions.
Bring acoustics into the design conversation
Treble gives audio teams a virtual environment to evaluate cabin designs and demonstrate the acoustic impact of engineering choices. Compare materials, loudspeaker positions, and microphone configurations to make the case for changes before designs are fixed.
Generate audio for listening comparisons, algorithm testing, and targeted AI training datasets, including challenging edge cases. Bring measurable results and audible examples into design reviews, helping teams refine hardware and AI performance before physical prototypes are available.
Key Capabilities
Model the Details That Shape In-Vehicle Audio
Build, Optimise, and Validate Virtually
Develop, evaluate, and optimise vehicle audio systems through simulation driven engineering. Bring acoustic evidence into design decisions early and refine performance before committing to hardware.
Simulate
Build a virtual vehicle
Import cabin geometry, assign acoustic materials, and configure loudspeakers, microphones, and listening positions. Create a simulation model that represents the interior and audio system you want to explore.
Optimise
Refine your designs
Evaluate acoustic performance, tune configurations, and compare design alternatives. Iterate on speaker placement, microphone layouts, and material choices while there is still room to influence the design.
Validate
Develop with confidence
Assess cabin acoustics and audio system performance across repeatable listening scenarios. Complement physical testing with virtual evaluation to investigate edge cases and check performance against your requirements.
Modelling the acoustics of a car cabin
Explore a Volkswagen Passat cabin model built from scanned geometry and measured material data. The study compares simulated and measured acoustic responses and examines how geometry and material characterisation affect the results.
Loudspeaker Modeling using Boundary-velocity Submodels
This article validates the boundary-velocity submodel feature of the Treble SDK using two loudspeaker case studies.
Optimizing a Small Space for Critical Listening
This study demonstrates how Treble predicts and evaluates acoustic performance in a practical engineering workflow, highlighting the platform's ability to optimise complex listening environments before physical implementation.
