AudioSlicer (Editor) for ai-voice-cloning by mrq#

Requirements (just use the same venv as for the ui)#

• ffmpeg (ffprobe)
• PyQt6

Clone this repo to "modules". Dschogo/AudioSlicer

To install the requirements, activate your venv (venv\Scripts\activate on Windows) and run pip install ffmpeg-python PyQt6.

Usage#

Run main.py (with the activa venv)

Select either a generated audio_list.json (by this tool to continue working on the same project) or a generated whisper.json (by the ui with whisperx) in the traning folder of the voice.

Note: Its is advices to give a -1 seconds trim offset in the start, whisperx cuts often to late, and you can cut it later with this tool.

Buttons#

• prev / next (alt+left / alt+right): go to the previous / next audio file
• delete (alt+del): delete the current audio file (not really delete but flag as not to export for training)
• trim (alt+t): trim the current audio file (respecting the 2 fields above, cuts x seconds from start/end - floats are allowed), after cutting the length can be longer - ffprobe returns the actual new length
• save (ctrl+s): save the current progress to audio_list.json
• export : writes the train.txt and vaidation.txt (2% of the "good" samples taken)

Notes#

• To add new audio files, just transcribe them via the UI and then select the audio_list.json, it will add the new files to the list (takes a bit) DONT SELECT THE WHISPER.JSON AGAIN, IT WILL OVERWRITE THE WHOLE LIST, AND THEREFORE YOUR PROGESS. Also make sure to chekc the skip existing in the webui, otherwise the trimmed audio files will be overwritten, and the trim is gone.
• The word quality is taken from whisperX, therefore its only an indicator nothing more.