Comments (2)
@uttam-scai I see that you use WhisperLive with a microphone. So, we consider the last segment recieved from the model as something which might change because in the current audio chunk there is a high possibility that the last word might have been cut and not fully captured in the current audio chunk so, i hope you only see the last part of the transcription which changes and not all of it.
So, if you keep talking on the microphone the transcription must stabalise and only part of it should be prone to change.
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@makaveli10 thank you for your quick response. Actually when the audio stops completely for sometime, the print result fluctuates with repeating previous words.
Is it possible to keep the entire transcript ? May you please guide me to any code that can help me to save entire conversation transcript till the mic was on?
Thank you !!
I want to pass the transcript to an LLM for my work. It will be a great help #thankyou
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Related Issues (20)
- Code error in client.py HOT 1
- Live Browser Plugin Transcription HOT 4
- replace the model on Hugging Face HOT 4
- Server complains about float16 compute type. HOT 3
- Integrating with Hugging Face pretrained models HOT 1
- What is the scipy version? HOT 1
- TranscriptionTeeClient __call__ ---> class methods HOT 1
- GPU mode consumes half of available CPUs HOT 1
- 运行服务器没反应,客户端运行后只输出:[INFO]: * recording HOT 1
- Incomplete Transcriptions HOT 5
- Whisper-live taking same time on CPU and GPU to transcribe an audio HOT 6
- HLS Transcription Stops After A Couple Minutes
- Tensorrt backend with base.en not working HOT 3
- Tensor backend core dumped HOT 3
- 'Backend' error in command prompt HOT 3
- Delay in transcription HOT 1
- Word-level timestamps HOT 2
- Whisper version selection for Docker deployment HOT 1
- faster_whisper_custom_model_path problem in windows
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