Fact · Languages and accents
80.3percent accuracy
On the 82 languages that Whisper's training data covers, the best Whisper model identified the spoken language with 80.3% accuracy on the FLEURS benchmark.
Checked against its source on October 17, 2026
In the source's own words
“the best Whisper model achieves 80.3% accuracy”
Robust Speech Recognition via Large-Scale Weak Supervision (full text), Alec Radford et al., OpenAI (arXiv), 2022, Section 3.6.
Open the original (DOI 10.48550/arXiv.2212.04356)- What it measures
- Language identification here means naming the language of a clip from a list of 102 FLEURS languages. The same paragraph reports the 80.4% ceiling set by missing training data.
- What it does not show
- This is a clip-level test on read speech. It says nothing about how often a single recording with two languages will be labeled correctly.