Expired80% confidenceFactExact time
ASR models such as OpenAI Whisper and Google Speech-to-Text have compressed word error rates to below 5%.
6
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
7/24/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/22/2026(expired)
Sources
AI外呼语音代理横评：无代码 vs 写代码，六大平台实测对比
redditr/aiagents7/12/2026
Related Claims
UnverifiedRepresentative ASR models include OpenAI Whisper and Google Speech-to-Text.74% similarVerifiedOpenAI's open-source Whisper model achieves near-human-level word error rates across 99 languages and natively supports timestamp output.71% similarVerifiedAlthough Whisper supports multilingual recognition, its performance on intra-sentential code-switching remains far below that in monolingual scenarios.70% 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.70% similar
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