Fact · Speech recognition
13.07percent word error rate
In the Voxtral paper's Table 3, Whisper large-v3 had a word error rate of 13.07 percent on Earnings-22 (10-minute segments).
Quote found word for word on the live source, last checked October 19, 2026
In the source's own words
“Model LS-C LS-O GS VP SB C-4 SPGI E21 10m E22 10m ... Whisper large-v3 1.84 3.66 11.60 9.58 13.14 10.88 3.15 9.88 13.07”
Voxtral, Mistral AI, arXiv (Audio and Speech Processing), 2025, Table 3 (long-form English), Earnings-22 (10-minute segments) column.
Open the original- What it measures
- Long-form sets are ten-minute segments of earnings calls, cut from one-hour recordings.
- 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.
In the data
A row of Speech Recognition Accuracy: Word Error Rates, as Whisper large-v3, Earnings-22 English: 13.07 percent.
- System
- Whisper large-v3
- Kind
- Open model
- Test set
- Earnings-22 (10-minute segments)
- Language
- English
- Speech
- Specialist vocabulary
- Year
- 2025