Unverified50% confidenceBenchmarkExact time
With the addition of an on-chip language model with 1.3 million parameters, Oído's WER drops to 3.33% / 7.15%.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
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Related Claims
UnverifiedOn the LibriSpeech benchmark, Oído's word error rate (WER) is 3.7 (clean) and 8.2 (other), while Whisper tiny.en on a laptop achieves 6.3 and 15.9.64% similarUnverifiedWhisper has been iterated to the large-v3 version (November 2023), with an average word error rate (WER) on the Fleurs benchmark reduced to approximately below 10%.61% similarUnverifiedIn C++ language tests, Swift's token usage was only 29% of the base version's, but accounted for 3 of the 6 quality losses.60% similarUnverifiedUnder conditions where the target language is explicitly specified in the prompt (L3 prompts), GLM-5.1 achieved a generation accuracy of 72.29%, while Llama-3.3 70B reached only 24.24%.58% similarUnverifiedIn the Codeforces rating, o1's score is far lower than that of o3-mini-high.58% similar
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