Jesper Pedersen, CPO & Co-Founder at Treble
New Geometry Import Features
Jesper Pedersen demonstrates some of the new geometry import features coming to Treble Acoustic Simulation Suite:
- Overview of geometry import in treble
- "Multi-space import" feature presentation
- BIM integration outlook
Pawel Kowalik , Technical Marketing Manager at Saint-Gobain Ecophon Poland
LiDAR scans enhancing and speeding up acoustic calculations in Treble
The Technical Marketing Manager at Saint-Gobain Ecophon in Poland brings eight years of experience at Ecophon and holds a Master's degree in Civil Engineering from the Warsaw University of Technology.
Within the Polish Ecophon team, fulfills the role of providing daily technical support to the sales team and contributes to acoustic calculations in Treble.
Additionally, as a part of the Central Ecophon R&D team, plays a crucial role in overseeing all digital solutions, introducing and testing them in European markets.
Recent posts
At CES we will present the Treble SDK, our cloud based programmatic interface for advanced acoustic simulation. The SDK enables high fidelity synthetic audio data generation, scalable evaluation of audio ML models and virtual prototyping of audio products. Visit us in Las Vegas from January 6-9, 2026 at booth 21641.
Studio Sound Service authorized reseller of Treble in Italy
Through this partnership, Treble and Studio Sound Service are bringing next-generation acoustic simulation and sound design solutions to professionals across the country. With its deep expertise and strong reputation in pro audio, Studio Sound Service is the perfect partner to expand the reach of Treble’s cutting-edge technology, empowering acousticians and sound engineers to design better-sounding buildings and venues.
Treble and Hugging Face Collaborate to Advance Audio ML
Treble Technologies and Hugging Face have partnered to make physically accurate acoustic simulation data openly accessible to the global research community.
As part of this collaboration, we are releasing the Treble10 dataset, a new open dataset containing broadband room impulse responses (RIRs) and speech-convolved acoustic scenes from ten distinct furnished rooms. The dataset is now freely available on the Hugging Face Hub for non-commercial research.
This collaboration aims to lower the barrier to entry for audio and speech machine learning research by providing high-quality, physics-based acoustic data that was previously difficult to obtain or reproduce.
