AI BriefingLatest Trends in the Open ASR Leaderboard
·2025.11.21 09:00
Key point
HuggingFace announced an update to the Open ASR Leaderboard that adds multilingual and long-form tracks, along with the latest trends in speech recognition.
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Details
HuggingFace's Open ASR Leaderboard has been updated with newly added Multilingual and Long-form transcription tracks. It currently compares accuracy and efficiency across more than 60 models from 18 organizations.
The major trends in the latest ASR technology are as follows:
- Strength of Conformer + LLM combinations: Models combining a Conformer encoder with an LLM decoder (such as NVIDIA Canary-Qwen, IBM Granite-Speech, Microsoft Phi-4-Multimodal) recorded the best performance in English transcription accuracy.
- Trade-off between speed and accuracy: CTC and TDT decoders have relatively lower accuracy but show 10-100x faster throughput than LLM decoders, making them suitable for real-time and batch jobs.
- Language and task characteristics: Multilingual models show performance degradation compared to single-language specialized models, and in long-form tasks, closed-source systems still maintain the upper hand.
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