Fact · Speech recognition
Artificial Analysis says streaming speech-to-text performance varies meaningfully across its three test datasets, which differ in audio length, accents, vocabulary and background noise.
Checked against its source on October 17, 2026
In the source's own words
“Performance varies meaningfully across the three datasets with different audio lengths, accents, vocabulary, and background noise.”
Announcing AA-WER Streaming (Artificial Analysis), Artificial Analysis, Artificial Analysis, 2026, Key results, paragraph after the first-partial frontier.
Open the original- What it measures
- The benchmark compares streaming models on three datasets: a private test set and two public sets of recordings. The same article says no single model leads on every dataset.
- What it does not show
- Applies to the three datasets in this 2026 benchmark. Your own audio may favor a different service.