Comments (3)
transcriptionstream
commented on June 2, 2024
I pulled the audio for that video and ran it through and got a single speaker as well. I don't think the audio quality is good enough for the identification of the multiple speakers.
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utility-aagrawal
commented on June 2, 2024
Thanks @transcriptionstream ! This is how the audio quality is going to be for my use case. From your experience, do you have any suggestions maybe some kind audio preprocessing, hyperparameter tuning etc. that I can use to improve the diarization? I have tried multiple solutions (whisperx, whisper-diarization, AWS transcribe, AssemblyAI, picovoice) but nothing seems to work good enough. Not just on this video, I am yet to find a video on which diarization is nearly accurate.
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corneliusgerico
commented on June 2, 2024
Thanks @transcriptionstream ! This is how the audio quality is going to be for my use case. From your experience, do you have any suggestions maybe some kind audio preprocessing, hyperparameter tuning etc. that I can use to improve the diarization? I have tried multiple solutions (whisperx, whisper-diarization, AWS transcribe, AssemblyAI, picovoice) but nothing seems to work good enough. Not just on this video, I am yet to find a video on which diarization is nearly accurate.
Try https://huggingface.co/spaces/vumichien/Whisper_speaker_diarization
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Related Issues (20)
- Issue with an audio/video file HOT 1
- Numpy Conflict - current requirements.txt HOT 2
- Is this repo usable for a production use case!! HOT 7
- Error in diarization
- Installing from requirements.txt leads to the installation of ?every version of the packages needed HOT 7
- Audio only part time transcribed and each time a different one? HOT 3
- faster-whisper branch/revision has changed HOT 3
- diarize.py unexpected keyword argument ‘max_new_tokens’ HOT 4
- Error: got an unexpected keyword argument 'max_new_tokens' HOT 2
- AssertionError: chunk size too large, text got clipped HOT 2
- Language param not working HOT 2
- install issue HOT 1
- WhisperX forced alignment HOT 1
- How to use Yaml File HOT 1
- Failed to install on Apple Silicon HOT 10
- word_timestamps - IndexError: list index out of range HOT 1
- Transcription for non-verbal/non-speech labels(laughter etc.)? HOT 3
- Install fails on Python 3.12 due to missing distutils HOT 5
- python version it best works in ?????? HOT 1
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