Grammar doesn't work with trained model
Offen
- Vorherrschende Sprache
- Jupyter Notebook
- Sterne
- 15.1k
- Forks
- 1.8k
- PR-Merge-Kennzahlen
- Keine gemergten PRs in 30 T.
Beschreibung
I had used mini_librispeech to train the model used in vosk, when i used the HCLr.fst to recognize the fixed text GRAM defined as "ONE TWO THREE FOUR ...", the recognition results of vosk is wrong; while i used the HCLG.fst ,the recognition results can be ok. I have no idea how to get the correct model of HCLr.fst. Looking forward to your reply!
Beitragsleitfaden
Für dieses Repository ist kein Beitragsleitfaden indexiert
Bewertung
Dieses Issue wurde noch nicht bewertet.