# Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World

DevFeed: [Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World](<https://devfeed.tech/articles/introducing-the-ffasr-leaderboard-benchmarking-asr-in-the-real-world-7196.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/ffasr-leaderboard>)

Author: Daniel Gert Nielsen; Shivam Saini; Alessia Milo; Georg Götz; Eric Bezzam

Published: 2026-06-24T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [asr](<https://devfeed.tech/topics/asr.md>), [benchmarking](<https://devfeed.tech/topics/benchmarking.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [announcement](<https://devfeed.tech/tags/announcement.md>), [asr](<https://devfeed.tech/tags/asr.md>), [audio](<https://devfeed.tech/tags/audio.md>), [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [community](<https://devfeed.tech/tags/community.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [development](<https://devfeed.tech/tags/development.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [leaderboard](<https://devfeed.tech/tags/leaderboard.md>), [open](<https://devfeed.tech/tags/open.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [partnerships](<https://devfeed.tech/tags/partnerships.md>), [performance](<https://devfeed.tech/tags/performance.md>), [speech](<https://devfeed.tech/tags/speech.md>)

## AI overview

Treble Technologies and Hugging Face introduce the open, community-driven FFASR Leaderboard, a benchmark for evaluating automatic speech recognition models in realistic far-field acoustic conditions. It measures performance across factors such as reverberation, background noise, microphone distance, and low signal-to-noise ratios, while also showing the tradeoff between recognition accuracy and speed.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.