Fact · Speech recognition
12.79percent word error rate
NVIDIA Canary 1B Flash had a word error rate of 12.79 percent on the Earnings-22 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
“| **Version** | **Model** | **RTFx** | **AMI** | **GigaSpeech** | **LS Clean** | **LS Other** | **Earnings22** | **SPGISpech** | **Tedlium** | **Voxpopuli** | ... | nemo-main | canary-1b-flash | 1045.75 | 13.11 | 9.85 | 1.48 | 2.87 | 12.79 | 1.95 | 3.12 | 5.63 |”
canary-1b-flash model card (raw README), NVIDIA, Hugging Face (NVIDIA model card), n.d., Open ASR Leaderboard table, Earnings-22 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 Flash, Earnings-22 English: 12.79 percent.
- System
- NVIDIA Canary 1B Flash
- Kind
- Open model
- Test set
- Earnings-22
- Language
- English
- Speech
- Specialist vocabulary