the on_realtime_transcription_update text issue about realtimestt HOT 3 CLOSED

No, that ist due to the way Whisper works and how it therefore is implemented. You'd need to program this on top of that.

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Ok,thanks a lot!
I use the process_text callback data, it costs about 3s to get the text data, is it normal? how should I reduce the time cost?
use the recorder_config,and recorder.feed_audio(audio_chunk) method in GPU env.

from realtimestt.

Absolutely not normal. Even with largest model or on CPU transcription time should be way below 1s.
I have no real idea, why this happens.
Can you please try another model, like small.en or medium? Also a separated test with only faster_whisper library could tell us if it's the transcription or maybe something related to the VAD models.

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