Hugging Face· PlatformResearch paper

Open ASR Leaderboard: Trends and Insights with New Multilingual & Long-Form Tracks

The Open ASR Leaderboard has added multilingual and long-form transcription tracks. A preprint analyzing 60+ models from 18 organizations across 11 datasets reveals that Conformer encoder + LLM decoder models achieve the best accuracy, CTC/TDT decoders are the fastest, multilingual models sacrifice single-language performance, and closed-source systems still lead in long-form transcription.

From the source

Over the past two years, the Open ASR Leaderboard has become a standard for comparing open and closed-source models on both accuracy and efficiency. Recently, multilingual and long-form transcription tracks have been added to the leaderboard 🎉

huggingface.co

Announced

21 Nov 2025 00:00 UTC

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