08 February 2024

On-demand Webinar: Optimize your acoustic simulations

On demand

Learn from our experts

Guðrún goes through all the steps involved in the modeling workflow and creation of acoustic simulations for in-depth analysis. Amongst other things, you will learn:

  • How to import your geometries into Treble
  • How to assign, create, and share materials
  • How to input sources and receivers
  • How to set up surface receivers for your simulations
  • How to analyze acoustic parameters of your simulations
  • How to hear your designs in the Auralizer and share them other stakeholders

On Demand Training Webinar

Try Treble for yourself

No obligation, no credit card required.

Recent posts

06 January 2026

Meet Treble at CES 2026

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.
07 November 2025

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.
13 October 2025

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.