Comments (3)
"The library integrates the Silero VAD model to filter out parts of the audio without speech"
This does exactly what you're asking
from faster-whisper.
Is there a method or parameter that can filter out noise that is not human voice?
Not in this repo. But such option can be found in some other repos like WhisperX or Standalone Faster-Whisper-XXL.
from faster-whisper.
I've paired it with https://github.com/karaokenerds/python-audio-separator to great success.
from faster-whisper.
Related Issues (20)
- Having issue in decoding audio chunks properly for fasterWhisper transcribe func
- finetuning encounter multiple errors on the 2nd step (Fine-tuning XTTS Encoder) HOT 1
- clip_timestamps does not work across multiple files [faster-whisper 1.0.2] HOT 3
- What are the ways to improve the speed of continuously recognizing multiple audio files? HOT 1
- Silero-VAD Meta Hallucinations HOT 1
- Limited GPU Utilization with NVIDIA RTX 4000 Ada Gen HOT 13
- The Japanese conversion to the back has always been show thanks for listening ご視聴ありがとうございました what is the reason
- Batch process available? HOT 2
- Word-level timestamps are off after hotwords is setted HOT 1
- Finetuning with Dora HOT 1
- The VAD parameters and default values in the source code is inconsistent with the description in README.md HOT 1
- how can I get more accurate timestamps? HOT 1
- Can not upload model to hub HOT 1
- TypeError: `pad_width` must be of integral type. HOT 3
- Minimum CUDA version HOT 1
- 有没有大佬遇到过 a problem RuntimeError: Cannot load the vocabulary from the model directory HOT 1
- Transcribe results being translated to different language HOT 11
- Local or remote? HOT 1
- issue with GPU utilization, RTX 3060 mobile, CUDA 12. HOT 2
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