Fact · Speech recognition
62.01percent word error rate
In the Voxtral paper's Table 5, Voxtral Mini Transcribe had a word error rate of 62.01 percent on Common Voice Arabic.
Quote found word for word on the live source, last checked October 19, 2026
In the source's own words
“Model ar nl en fr de hi it pt es ... Voxtral Mini Transcribe 62.01 4.71 8.25 7.29 4.85 10.42 4.37 6.70 3.96”
Voxtral, Mistral AI, arXiv (Audio and Speech Processing), 2025, Table 5 (Common Voice), column ar.
Open the original- What it measures
- Common Voice is speech recorded by volunteers, so its audio is less controlled than read benchmarks. The paper names the version Common Voice 15.1. The table sits in the same paper, so the systems were compared on the same test.
- What it does not show
- One paper's runs under its own text normalization and decoding, so compare systems within this table, not with other papers' numbers. The paper gives no date per row. Arabic is left out of the paper's Common Voice macro-average because every model scores above 45 percent on it.
In the data
A row of Speech Recognition Accuracy: Word Error Rates, as Voxtral Mini Transcribe, CV Arabic: 62.01 percent.
- System
- Voxtral Mini Transcribe
- Kind
- Open model
- Test set
- Common Voice
- Language
- Arabic
- Year
- 2025