Unverified50% confidenceBenchmarkExact time
Oído's Spanish-language model reduces errors by 34% to 60% compared to the multilingual Whisper tiny.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
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Related Claims
VerifiedASR models such as OpenAI Whisper and Google Speech-to-Text have compressed word error rates to below 5%.69% similarVerifiedAlthough Whisper supports multilingual recognition, its performance on intra-sentential code-switching remains far below that in monolingual scenarios.66% similarUnverifiedThe author emphasizes that 5.05% is a perplexity reduction at the language model validation level, not an improvement in benchmark accuracy.64% similarUnverifiedIn code-switching scenarios, the word error rate (WER) of current best-in-class speech recognition models remains between 15–25%, compared to within 5% for English monolingual scenarios.63% similar
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