A tool used by the Pony Preservation Project. If you don't know what it does, you probably don't need it.
- Clone this repo. Optionally, Windows users can download the binary release.
- Download all audio sources for the episodes you plan to work with.
- Download the label files from Clipper's MEGA, and copy them to /labels.
- Run
pip3 install -r requirements.txt
, followed bypython3 ponysorter_gui.py
. (Or download the Windows release) - Go to Edit -> Add audio path(s). Paste the path or paths where the audio files are stored.
- Wait ~5 minutes for the files to get hashed. This is only done once for new files, and ensures that everyone is working with the same audio sources.
- Go to Edit -> Load episode. You should see a list of all found episodes.
- Load an episode.
- Listen to all three versions of the line. You can either click the buttons at the top, or use the numeric keys as indicated.
- Adjust the label data if it's wrong.
- Select the audio source that strikes the best balance between quality and noise reduction.
- If you made a mistake, use the leftmost button to go back a line.
- When all lines have been reviewed, go to Edit -> Save changes (or press Ctrl+S) to save your changes.
- You can also save your progress in the middle of an episode, and return to it later.
- The files are stored in /saved_changes. Upload the JSON files for completed episodes, and post them to the thread.
Automatically splits audio samples from all episodes for a selected pony, and generates metadata in LJ Speech format. This takes about 5 minutes. Options are hardcoded for now: Twilight only, defaulting to iZotope for unreviewed lines.
Not yet implemented. Will create a single Frankenstein file for each episode with the cleanest audio source for each line. Potentially useful for existing splitting scripts.
Exports the episode data loaded into memory to /exported_labels. Four files are created. Files suffixed "original", "izo" and "unmix" contain only the lines chosen for each source. The file without a suffix contains all lines.
Same as above, but exports labels for all episodes. Save your changes before running this.