Modelsby GlyphOpen ASR Leaderboard what it measures, how it is scored and who leads it
Speech · Hugging Face and collaborators · Average word error rate (lower is better)
Scores from Open ASR Leaderboard, published Nov 10, 2026
About this benchmark
- Task
- Transcribe English short- and long-form speech and multilingual speech.
- Dataset
- Public test sets (LibriSpeech, Common Voice, TED-LIUM, AMI, Earnings-22 and more) in English and multilingual tracks.
- Method
- Every system run the same way; word error rate and real-time factor reported.
- Metric
- Average word error rate (lower is better)
- Organization
- Hugging Face and collaborators
- Official leaderboard
- huggingface.co/spaces/hf-audio/open_asr_leaderboard
Versions
Newest first. New versions are added, never rewritten.
| Version | Date | |
|---|---|---|
| Paper86 systems across 12 datasets, with long-form and multilingual tracks. | Oct 8, 20251 year ago | 86 systems across 12 datasets, with long-form and multilingual tracks. |
Sources: each benchmark's paper (arXiv) and its official site or leaderboard. Scores are the boards captured here every day, exactly as published.