"labbu" is a tool created to assist in contextual editing of phonetic "lab" files. These files are common place in a lot of SVS tools. (DiffSinger, NNSVS, etc)

To quickly and easily convert MFA TextGrids to Labs you can use this notebook:
_{Please Note: Currenly, I have only implemented support for English and Japanese in the notebook, but by editing code you can do it with any.}

Currently, labbu must be installed manually, and the only dependency is mytextgrid, so make sure that's installed first! Simply download "labbu.py" and place it in the folder you'll be using other code out of. Below is an example of a script that will replace all label indexes with [SP] as the phoneme with [slay], but only if the next phoneme is [aa]. All information about the lab is saved in the object, which I recommend calling "labu" for the sake of consistency.

import labbu

labu = labbu.labbu()
labu.load_lab({file_path_to_label})

for i in range(len(labu.get_length())): #check in each index of the lab file
  if labu.curr_phone(i) == 'SP' and labu.next_phone(i) == 'aa':
    labu.change_phone(i, 'slay')

labu.export_lab({output_path})

Further documentation and examples will come as labbu is developed.

I've created a label checker for labbu! This script will check for undefined phonemes in labels, as well as lables that are under 51000 units, or about 0.051 seconds (idk why I picked that number), which can cause issues when training. To run it, you'll need labbu installed with the proper depencies, and also will need to install click.

pip install click

To run it, simply type run this command:

python check_labels.py -p {path_to_labels}

To check different languages, you can use the -l argument. The current distribution of labbu supports japanese, millefeuille (you can find Millefeuille here and default, which includes Japanese and standard English Arpabet.

If you'd like to use a custom phoneme set, you can define one. Reference this file to create your own custom language set. Then, enter the command like this:

python check_labels.py -p {path_to_labels} -l custom -cl {path_to_custom_lang.yaml}

Loading from Praat TextGrid was referenced from Overdramatic's "text2lab" (Thank you!)