Open Automatic Speech Recognition Leaderboard.

The Open ASR Leaderboard is a comprehensive benchmark for evaluating Automatic Speech Recognition (ASR) models across 11 diverse datasets including LibriSpeech, Common Voice, FLEURS, TEDLIUM, AMI, Earnings-22, Gigaspeech, SPGISpeech, Voxpopuli, and Multilingual LibriSpeech. It measures both accuracy (Word Error Rate) and efficiency (Real-Time Factor).

Best published scores.

No results indexed yet — be the first to submit a score.

Neighbouring benchmarks.

Other Automatic Speech Recognition datasets on Codesota.

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies