06 June 2023

Treble wins ICASSP 2023 best Startup award

The International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023 and the 2nd Signal Processing Society Entrepreneurship Forum announced Treble as the winners of this year’s Startup Fair.

Treble’s innovative cloud-based sound system and solid pitch has secured them the top spot in this year’s competition. Our cutting-edge solutions showcased an exemplary application of signal processing technology.

Our cloud-based synthetic data generation tool enables audio teams to work faster and produce better machine learning models. It represents a new approach for training and testing audio machine learning models enabling accelerated AI development, superior data quality, and the ability for users to create custom datasets with deep synthetic complexity and variety.

 

Another win for Treble!

Finnur Pind was honored by IEEE SPS President, Professor Athina Petropoulou, who awarded the prize and certificate

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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.