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Faster Whisper + Silero VAD + DeepL

a fork of https://github.com/ANonEntity/WhisperWithVAD (DeepL integration for translation)

adapted to Faster-Whisper with built-in SileroVAD: https://github.com/guillaumekln/faster-whisper

for vocals extraction, replace spleeter with demucs, inspired from: https://github.com/EtienneAb3d/WhisperHallu

several enhancements for Japanese from somewhere on internet

How to use

  • Open In Colab to open the notebook in Google Colab.
  • Run the Setup Whisper cell.
  • Upload your input audio to either the runtime itself, Google Drive, or a file hosting service with direct download links.
  • Set the audio_path and language variables, and then run the Run Whisper cell. (Note: Audio path is set automatically if you use the Upload cell)
  • Once it's done, the notebook will automatically download the generated SRT file.

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FasterWhisper + DeepL

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  • Jupyter Notebook 100.0%