Research
Open ASR Leaderboard adds Egyptian and Nigerian English
Hugging Face Bloghigh confidence
Why it matters
- →Expands ASR benchmarks beyond Western-centric accents to include Egyptian and Nigerian English.
- →Uses private data from Liva AI to prevent benchmark manipulation and ensure realistic evaluation.
- →Introduces Kachru’s Three Circles framework for more nuanced accent categorization in model testing.
Hugging Face has expanded the Open ASR Leaderboard with new private evaluation sets for Egyptian and Nigerian English, developed in collaboration with Liva AI. The update incorporates data from real-world consumer products to capture natural speech patterns, moving beyond scripted interactions. This addition allows the leaderboard to categorize accents according to Kachru’s Three Circles framework, specifically targeting Outer and Expanding Circle varieties. The move aims to reduce benchmark manipulation and improve the reliability of speech recognition performance metrics for non-native English speakers.
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TopicHugging Face PyTorch And Swift
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1Current AI Builds Open AI Infrastructure for Global Languages
TechCrunch AI · July 19, 2026 · Background
- 2Together AI Enables A/B Testing for LLMs
Together AI Blog · August 17, 2026 · Background
- 3Open ASR Leaderboard Adds Hindi Language
Hugging Face Blog · August 28, 2026 · Same story
- 4llama.cpp fixes LFM2 audio transcription accuracy
llama.cpp Releases · September 26, 2026 · Background
- 5Hugging Face launches objective Open TTS Leaderboard
Hugging Face Blog · September 30, 2026 · Same story
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