Automated Transcription Pipeline (Whisper cpp)

This repo contains code for the automated transcription of diverse audiofiles. As of writing this it:

• Checks audio filename format conformity
• Converts (wav, m4a, mp3) into 16Khz single channel wav (combines stereo) via fmmpeg
• Removes silence via sox
• Transcribes audio locally using whisper.cpp (Mac Metal compatible)
• Manages files and folders automatically

Instructions

1. Create a directory containing the raw audio files to be transcribed
2. Update config.yaml:
   • Set base_dir to your audio directory
   • Ensure you have the git whisper.cpp submodule cloned
   • Ensure whisper_models_dir contains built whisper models (refer to whisper.cpp)
   • Define model_names to contain the models you wish to use (ggml indicates built for Mac Metal)
   • Update any whisper parameters via other_params
3. Run ./update.sh

You should then find a set of self-descriptive directories in your audio folder

You can also run scripts in ./src after transcription to avoid repeated work