Fact · Speech recognition
6.25percent word error rate
NVIDIA Canary 1B v2 had a word error rate of 6.25 percent on the VoxPopuli test set in the Open ASR Leaderboard table.
Quote found word for word on the live source, last checked October 19, 2026
In the source's own words
“| **WER ↓** | **RTFx** | **Mean** | **AMI** | **GigaSpeech** | **LS Clean** | **LS Other** | **Earnings22** | **SPGISpech** | **Tedlium** | **Voxpopuli** | ... | `Canary-1b-v2` | 749 | 7.15 | 16.01 | 10.82 | 2.18 | 3.56 | 11.79 | 2.28 | 4.29 | 6.25 |”
canary-1b-v2 model card (raw README), NVIDIA, Hugging Face (NVIDIA model card), 2025, Open ASR Leaderboard table, VoxPopuli column.
Open the original- What it measures
- The model card's Hugging Face Open ASR Leaderboard table gives the WER for each dataset in the leaderboard's English set.
- What it does not show
- A vendor-run score on the leaderboard's English datasets, with the leaderboard's text normalization. Compare only with systems scored the same way.
In the data
A row of Speech Recognition Accuracy: Word Error Rates, as Canary 1B v2, VoxPopuli English: 6.25 percent.
- System
- NVIDIA Canary 1B v2
- Kind
- Open model
- Test set
- VoxPopuli
- Language
- English
- Speech
- Mixed benchmark
- Year
- 2025