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Open ASR Leaderboard

Assess

Platforms

An open benchmark leaderboard for evaluating automatic speech recognition models.

Why it's here

Placed in Assess: 2 article(s) of evidence from 1 source(s), led by framework updates, with 0 in the last 30 days. Confidence 38%.

Evidence (2)

  • 7Hugging Face Blog·8/28/2026framework_update
    Open ASR Leaderboard Adds Hindi and Indian English

    Hugging Face and Voice Arena have added two new evaluation sets, Monsoon en-IN and Monsoon hi-IN, to the Open ASR Leaderboard. The release is notable because Hindi is the first Global South language on a multilingual tab that had previously covered only European languages, and the datasets include public and private splits with speaker-level attributes to improve fairness analysis.

  • 7Hugging Face Blog·5/6/2026framework_update
    Open ASR Leaderboard Adds Private Anti-Gaming Datasets

    Hugging Face updated the Open ASR Leaderboard with new high-quality English speech recognition datasets from Appen Inc. and DataoceanAI, covering scripted and conversational speech across multiple accents. The datasets will remain private to reduce benchmark gaming and test-set contamination, while the public leaderboard average still uses only public datasets by default, with an optional toggle to include the private sets.