Utility for sorting PPP data. If you don't know what that means, you probably don't need it.

• If you are installing in python/conda, pip install -r requirements.txt. On Windows you can download an appropriate release.

• In config.yaml, modify master_file_1 to point to master file 1, or the directory enclosing Sliced dialogue. PonySorter_B relies on the directory structure following that of the master file. master_file_2 is currently unused and can be left empty.

• Add episode tracks (i.e. s01e01_demu0.flac), processed and unprocessed, in in_audio. They can be located anywhere in any subdirectory of in_audio as long as they follow the signature s**e**_*optional tag*.flac, e.g. s01e01.flac or s01e01_demu0.flac. Text after the underscore is interpreted as a label for classification purposes. Currently tracks of interest are hosted here.

• Load an episode via the file menu (Ctrl+1).
• If desired, you can filter audios by labeled noise level using the filter dialog (Ctrl+F).
• Preview different processed audios using the buttons or keys 1-4.
• Select the best sounding audio using the radio buttons or keys q-r.
• If necessary, re-label the noise level using the radio buttons or keys a-d.
• The sorting state can be saved to a project file using File>Save (Ctrl+S).
  • The first save gives you the option to set the save as a default project, to be loaded on startup.
  • You can manually change the default project in config.yaml.
• File>Export data for current episode will export into the export directory audacity label files AND automatically re-clipped audio, matching the file structure of the master file.
• Multiple episodes can be modified in one project. File>Export data for all will export audacity label files and re-clipped audio for all episodes. Keep in mind this could take a long time with a larger amount of episodes.
• I recommend making backups of project files since this software is not very well tested.

• Code used for index json generation from label files (see "generate_fim_episodes_labels_index")
• Code used to denoise

• pyinstaller ponysorter_b.spec