Introducing FFASR Leaderboard with Hugging Face
Join us on June 11th for the launch of the Far Field ASR Leaderboard (FFASR) on Hugging Face, a new benchmark designed to move audio AI evaluation beyond near field assumptions.
18 May 2026
FFASR Leaderboard Early Access
Be among the first to submit and evaluate ASR models, and play a role in influencing how the FFASR leaderboard on Hugging Face is built.
What is FFASR
A leaderboard built for real deployment
Most ASR benchmarks are recorded close to the microphone in clean conditions.
That does not reflect how systems behave in meeting rooms, smart speakers, or hands-free devices.
FFASR evaluates models across five far-field categories using high-fidelity acoustic simulations, exposing performance differences that remain hidden in traditional benchmarks.
Why it matters
Your model does not ship into a lab
FFASR gives you:
- A transparent view of robustness across acoustic conditions
- Reproducible evaluation at scale
- A way to compare models under realistic constraints
You can submit Hugging Face models and see exactly where they succeed or fail.
Recent posts
Webinar: The Next Era for the Treble Web App
Join us on May 21st for our webinar focused on the latest advancements in the Treble Web Application, covering new features that improve analysis workflows, visualization, and overall usability. The session includes live demonstrations of upcoming capabilities, a brief overview of Revit and Rhino integrations to streamline design processes, and the introduction of a new materials initiative aimed at improving simulation accuracy and industry alignment. Attendees will gain a clear understanding of how these updates enhance efficiency, reduce setup time, and enable more reliable acoustic design decisions within modern, cloud based simulation workflows.
Warner Theatre Rehearsal Hall - Acentech Case Study
This study helped to refine Acentech's understanding of the performance of the ceiling system, which absorbs sound quite effectively at most frequencies, and contributes valuable reflections for ensemble intelligibility. Treble helped Acentech to translate between measurements of room decay times and up-close mockup measurements to create a coherent analysis and understanding.
