Realtime STT with large model
Aperta
- Lingua principale
- Jupyter Notebook
- Stelle
- 15.1k
- Fork
- 1.8k
- Metriche di merge delle PR
- Nessuna PR unita negli ultimi 30g
Descrizione
I wanted to test realtime speach recognition with large model (vosk-model-en-us-0.22) for extra accuracy. When i use result from call to PartialResult after AcceptWaveform delay is mostley acceptable, but call to Result or FinalResult can take quite a long time. I do understand that large model is perhaps not designed for realtime processing, but result from PartialResult looks usable. Does call to Result or FinalResult provide extra improvement over PartialResult? Or would it be possible to use only partial result and perhaps skip that final processing.
Guida per i contributori
Nessuna guida per i contributori indicizzata per questo repository
Valutazione
Questa issue non è ancora stata valutata.