Open ASR Leaderboard 新增埃及与尼日利亚英语口音
Egyptian and Nigerian English join the Open ASR Leaderboard
Open ASR Leaderboard 新增埃及和尼日利亚英语口音，并在 Private 标签页按 Kachru 三圈模型提供更细的口音细分：美国 vs 非美国（英国、澳大利亚、加拿大、印度、尼日利亚、埃及），以及内圈（美国、英国、澳大利亚、加拿大）vs 外圈与扩展圈（印度、尼日利亚、埃及）。数据由 Liva AI 通过真实消费者产品采集，覆盖自然、高上下文的多模态交互行为。
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Richer accent breakdown in the Private tab
With these new accents, we can now present a richer breakdown of accents, based on Kachru’s Three Circles (kudos to Hume AI for this idea in their leaderboard ). The Open ASR Leaderboard will now report:
US vs. non-US ( UK, Australia, Canada, India, Nigeria, Egypt )
Inner Circle ( US, UK, Australia, Canada ) vs. Outer & Expanding Circles ( India, Nigeria, Egypt )
As more accents join, we’ll split the Outer and Expanding Circles.
Liva AI collects multimodal interaction data through consumer products used by real people. Because Liva owns both the collection environment and distribution, it can design products around specific model gaps across domains, industries, languages, modalities, and interaction types. This gives it access to natural, high-context behavior that emerges through real product use, rather than artificially elicited or task-based interactions.
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Explore and compare English speech‑recognition model performance
Open ASR Leaderboard
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Spaces mentioned in this article 2
RW-Voice EQ ASR
Explore and compare English speech‑recognition model performance
Open ASR Leaderboard
Explore speech model performance across datasets