Vocabulary reduction
Open
- Dominant language
- Jupyter Notebook
- Stars
- 15.1k
- Forks
- 1.8k
- PR merge metrics
- No merged PRs in 30d
Description
Hi everyone
I am looking for a way to improve transcribation quality. To achieve it I want to test cutting the vocabulary down. I have found about dynamic vocabulary change of small models.
My question: Is there a way to do it for big models? In particular, russian big model? It contains HCLG.fst and is static.
Thank you!
Contributor guide
No contributing guide indexed for this repository
Assessment
This issue has not been assessed yet.