vosk can become very slow when spoken language is different from model
Open
- Dominant language
- Jupyter Notebook
- Stars
- 15.1k
- Forks
- 1.8k
- PR merge metrics
- No merged PRs in 30d
Description
When e.g. using vosk-model-en-us-daanzu-20200905 on a modern CPU (single thread), performance can be up to about 15x realtime. However, when the spoken language switches to something different from the model (and possibly with background noise) I see Vosk sometimes slowing down to .1x realtime or less. Is it possible to avoid this slow-down scenario somehow? If it is useful I can collect some audio samples that exhibit this but my guess is that this is fundamental to the implementation.
Contributor guide
No contributing guide indexed for this repository
Assessment
This issue has not been assessed yet.