Comments (5)
No Hard limit, depends on the ram and vram you are using
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why is VAD from Silero not used in this project?
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Vad is used in transcription and diarization, if you are asking why not Silero specifically, it'll be difficult to replace the built-in VAD in these modules and there's no incentive to try doing that
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Whisper VAD integration
https://github.com/ANonEntity/WhisperWithVAD/blob/main/WhisperWithVAD.ipynb
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At whisperX repository I saw information that they want to "Allow silero-vad as alternative VAD option"
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Related Issues (20)
- Output format HOT 3
- Conflicting dependencies while installing requirements.txt HOT 15
- from .ctc_forced_aligner import forced_align as forced_align_cpp error HOT 3
- CTC forced alignment error HOT 10
- multiple speaker compatability HOT 16
- IndexError: list index out of range HOT 3
- TypeError: unsupported operand type(s) for |: 'type' and 'type' HOT 4
- No such file or directory: '/usr/local/lib/python3.10/dist-packages/ctc_forced_aligner/punctuations.lst' HOT 1
- Installation issues with Windows HOT 4
- separating tracks killed HOT 2
- "Permission denied" HOT 6
- ContextualVersionConflict / Could not find the operator torchvision::nms HOT 5
- ubuntu pip install issue HOT 2
- Doesn't it provide Diarization for Korean? HOT 2
- Installed without any issues, received this error when trying to run. HOT 7
- Cannot import name 'ModelFilter' from 'huggingface_hub' HOT 5
- ModuleNotFoundError: No module named 'numpy' HOT 4
- Additional punctuation support HOT 2
- Some errors occurred during Speaker Diarization using the NeMo MSDD Model HOT 2
- How to tune speaker diarization error? HOT 3
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