Fact · Speech recognition
7.00percent
On the authors' combined nine-accent English test set, FireRedASR-LLM-L had an average word error rate of 7.00 percent.
Quote found word for word on the live source, last checked October 19, 2026
In the source's own words
“FireRedASR-LLM-L [ 63 ] - 8509.09 22.37 7.00 6.74 4.13 5.11 4.81 11.11 13.13 2.62 7.36 17.05”
Mixture of LoRA Experts with Multi-Modal and Multi-Granularity LLM Generative Error Correction for Accented Speech Recognition, Bingshen Mu et al., arXiv, 2025, Table II.
Open the original- What it measures
- Table II of the preprint. The test set is the authors' combined multi-accent English set of nine accents (AU, CA, CN, DE, IN, JP, UK, US, ZA). The AVG column is the average word error rate over those sets.
- What it does not show
- Authors' own test set and runs. Only the systems in this table are comparable with each other.
In the data
A row of Speech Recognition Accuracy: Word Error Rates, as FireRedASR-LLM-L: 7 percent.
- System
- FireRedASR-LLM-L
- Kind
- Open model
- Test set
- Combined multi-accent English test sets (9 accents)
- Language
- English
- Speech
- Accented or dialect
- Year
- 2025