Listening in Motion: Beyond the Time-Invariant Room
Exploring dynamic acoustic simulation and why real environments are not time invariant. Learn how the Treble SDK models motion in sound scenes.
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
Recent posts
On-demand SDK Webinar: A new era for audio AI data
Watch the on-demand webinar unveiling new Treble SDK capabilities for advanced voice processing and audio AI, including dynamic scene simulation, a new source receiver device for own voice and echo cancellation scenarios, and powerful tools for large-scale synthetic data generation. Industry leaders in audio technology and voice AI also join the session to discuss how these advancements elevate product performance and accelerate research and development.
The Next Major Evolution of the Treble SDK
The release is centered around two main areas. First, a substantial expansion of our device modeling capabilities. Second, a new framework for large scale data workflows and acoustic scene generation. Together, these changes further position the Treble SDK as a core infrastructure layer for modern audio algorithm development and virtual prototyping.
